Reliability analysis of substations and generator assessment of power plant stations are very important elements in a design and maintenance process. This paper presents a generator adequacy assessment of a classical “H” scheme for an open conventional substation, which is often used, and a new HIS - High Integrated Switchgear with SF6 gas isolation. Generator adequacy indices of both types of classical and HIS switchgear were compared and the results showed a high level of reliability and availability of the HIS presented substation. The input data were the annual reports of Croatian TSO-Transmission System Operator (HOPS) and statistics of operation events of Croatian National Electricity (HEP Inc.). For the HIS substation, the input reliability data were used from relevant international literature since only few of HIS substations are installed in Croatia. The generator is modelled with a three-state Markov state space model and Monte Carlo simulations were used for the generator assessment analysis. Adequacy indices LOLP and EDNS were obtained using DIgSILENT software.
The use of Markov Chain method to determine spare transformer number and loca...IJECEIAES
The purpose of this study is to develop a method to determine spare transformer number and location. Using Markov Chain method, state transition model and steady state probability was used on each 500-kV substation in order to analyze the effect of spare number and location variation with the reliability changes. To give an actual result of the case study, calculation of spare transformer number and location on 500/150 kV transformers in Java Bali System was analyzed. The steady state probability results will vary depending on the number of spare transformer, these results can then be used to assess the spare transformer needed. The variation of spare transformer location can be used to analyze the best possible location of the spare in order to satisfy the reliability required. The methodology presented shows an integrated calculation for determining the spare transformer number and location.
Topology and configuration selection for dc dc converters in space electrical...eeiej
Selection of DC/DC converter topology is one of the most challenging aspects in space Electrical Power Systems (EPS) design and development. It both highly, affects and is affected from EPS reliability requirements among the other EPS performance specifications. So ranking of DC/DC converters based on End-Of-Life (EOL) reliability is an undeniable need.
In this paper, reliability of four DC/DC converters including buck, forward, fly-back, and Push-pull, as candidates for a 5-years-long, Low-Earth-Orbit (LEO) space mission, are evaluated and compared. Converters are assumed having similar design requirements and supervision and control elements with different power conversion parts and negligible reliability-affecting excess circuits.
Standard process is undertaken in preliminary and critical design of converters for reliability improvement and prediction. To reduce the converters’ parts stress regarding the particles radiation and the thermal cycling effects of the space environment, a derating process is applied to the primary design based on ECSS standard. Derated components are then selected in such a way to make possible calculating components failure-rates based on the MIL-HDBK-217F data and equations as the major EEE components failure-rate data reference. Reliability modelling and analysis for the converters is done by reliability block diagram (RBD) method, and the converters are then comparatively evaluated based on the analysis results.According to the results, buck converter is the most reliable one and push-pull is the least. Among the
isolated topologies, fly-back is the best one from the reliability point of view.
TOPOLOGY AND CONFIGURATION SELECTION FOR DC/DC CONVERTERS IN SPACE ELECTRICAL...eeiej_journal
Selection of DC/DC converter topology is one of the most challenging aspects in space Electrical Power Systems (EPS) design and development. It both highly, affects and is affected from EPS reliability requirements among the other EPS performance specifications. So ranking of DC/DC converters based on
End-Of-Life (EOL) reliability is an undeniable need.
Digital Average Current Sharing Control for Low Voltage DC MicrogridsIRJET Journal
This paper proposes a decentralized control method called Digital Average Current Sharing (DACS) control for low voltage DC microgrids. Conventional droop controllers are not effective in achieving both low voltage regulation and proportional load sharing. DACS control overcomes this by utilizing a low-bandwidth communication between sources to determine the average current sharing. Each source controller shifts its droop characteristic along the voltage axis based on the average current value. Simulation results show the DACS control achieves better voltage regulation of less than 4.5% and current sharing errors of less than 4%, satisfying the key objectives of DC microgrids. In comparison to droop control, DACS control provides improved performance for proportional load sharing and voltage regulation in DC microgrids
Gauss-Seidel Method based Voltage Security Analysis of Distribution System IJECEIAES
Complexity of modern power network and Large disturbance results voltage collapse. So, voltage security analysis is important in power system. Indicators are helpful in voltage stability analysis, as they give information about the state of the system. In this paper a new indicator namely Distribution System Stability Indicator (DSSI) has been formulated using the information of Phasor Measurement Unit (PMU).The proposed indicator (DSSI) is tested on standard IEEE 33 bus radial distribution system. The suggested indicator is also applicable to the equivalent two bus system of a multi-bus power system. The proposed indicator is calculated for different contingent conditions at different system load configurations. The result of DSSI is verified with the standard indicator (VSI) which proves applicability of the proposed indicator. The bus voltages of all the buses at base loading and at maximum loading are evaluated for base data and for tripping of most critical line.
This document presents a new hybrid wind/solar energy system with a modified rectifier stage topology. The proposed topology fuses a Cuk converter and SEPIC converter, allowing each renewable energy source (wind and solar) to operate the rectifier stage individually or simultaneously. The topology eliminates the need for separate input filters and supports maximum power point tracking (MPPT) for each source. Simulation results are provided to validate the feasibility of the proposed system and its ability to step up/down the voltage from each source while achieving MPPT control through duty cycle modulation.
Vector control of wind driven self excited induction generator connected to g...Alexander Decker
The document describes a system for controlling a wind-driven self-excited induction generator connected to the grid using a 24-pulse AC-DC converter with pulse doubling technique. The system aims to improve power quality indices. A model of the system is developed in MATLAB/Simulink using a 3.5kW induction generator, 24-pulse diode bridge rectifier, and grid connection. Stator flux orientation control is used to regulate the generator voltage and frequency. Simulation results are presented to analyze the effectiveness of the proposed AC-DC converter under varying load conditions on the induction generator.
11.vector control of wind driven self excited induction generator connected t...Alexander Decker
This document summarizes a research paper that proposes a 24-pulse AC-DC converter system for a vector-controlled self-excited induction generator connected to the power grid. The system aims to improve power quality by reducing harmonic distortion. It uses an autotransformer-based rectifier with reduced rating magnetics and a pulse doubling technique. Simulation results in MATLAB/Simulink show the system is able to eliminate harmonics up to the 21st order and achieve near unity power factor over a wide operating range, with minimal effects observed from load variations. Transient responses during startup, load application, and short circuit events demonstrate the effectiveness of the proposed AC-DC converter design.
The use of Markov Chain method to determine spare transformer number and loca...IJECEIAES
The purpose of this study is to develop a method to determine spare transformer number and location. Using Markov Chain method, state transition model and steady state probability was used on each 500-kV substation in order to analyze the effect of spare number and location variation with the reliability changes. To give an actual result of the case study, calculation of spare transformer number and location on 500/150 kV transformers in Java Bali System was analyzed. The steady state probability results will vary depending on the number of spare transformer, these results can then be used to assess the spare transformer needed. The variation of spare transformer location can be used to analyze the best possible location of the spare in order to satisfy the reliability required. The methodology presented shows an integrated calculation for determining the spare transformer number and location.
Topology and configuration selection for dc dc converters in space electrical...eeiej
Selection of DC/DC converter topology is one of the most challenging aspects in space Electrical Power Systems (EPS) design and development. It both highly, affects and is affected from EPS reliability requirements among the other EPS performance specifications. So ranking of DC/DC converters based on End-Of-Life (EOL) reliability is an undeniable need.
In this paper, reliability of four DC/DC converters including buck, forward, fly-back, and Push-pull, as candidates for a 5-years-long, Low-Earth-Orbit (LEO) space mission, are evaluated and compared. Converters are assumed having similar design requirements and supervision and control elements with different power conversion parts and negligible reliability-affecting excess circuits.
Standard process is undertaken in preliminary and critical design of converters for reliability improvement and prediction. To reduce the converters’ parts stress regarding the particles radiation and the thermal cycling effects of the space environment, a derating process is applied to the primary design based on ECSS standard. Derated components are then selected in such a way to make possible calculating components failure-rates based on the MIL-HDBK-217F data and equations as the major EEE components failure-rate data reference. Reliability modelling and analysis for the converters is done by reliability block diagram (RBD) method, and the converters are then comparatively evaluated based on the analysis results.According to the results, buck converter is the most reliable one and push-pull is the least. Among the
isolated topologies, fly-back is the best one from the reliability point of view.
TOPOLOGY AND CONFIGURATION SELECTION FOR DC/DC CONVERTERS IN SPACE ELECTRICAL...eeiej_journal
Selection of DC/DC converter topology is one of the most challenging aspects in space Electrical Power Systems (EPS) design and development. It both highly, affects and is affected from EPS reliability requirements among the other EPS performance specifications. So ranking of DC/DC converters based on
End-Of-Life (EOL) reliability is an undeniable need.
Digital Average Current Sharing Control for Low Voltage DC MicrogridsIRJET Journal
This paper proposes a decentralized control method called Digital Average Current Sharing (DACS) control for low voltage DC microgrids. Conventional droop controllers are not effective in achieving both low voltage regulation and proportional load sharing. DACS control overcomes this by utilizing a low-bandwidth communication between sources to determine the average current sharing. Each source controller shifts its droop characteristic along the voltage axis based on the average current value. Simulation results show the DACS control achieves better voltage regulation of less than 4.5% and current sharing errors of less than 4%, satisfying the key objectives of DC microgrids. In comparison to droop control, DACS control provides improved performance for proportional load sharing and voltage regulation in DC microgrids
Gauss-Seidel Method based Voltage Security Analysis of Distribution System IJECEIAES
Complexity of modern power network and Large disturbance results voltage collapse. So, voltage security analysis is important in power system. Indicators are helpful in voltage stability analysis, as they give information about the state of the system. In this paper a new indicator namely Distribution System Stability Indicator (DSSI) has been formulated using the information of Phasor Measurement Unit (PMU).The proposed indicator (DSSI) is tested on standard IEEE 33 bus radial distribution system. The suggested indicator is also applicable to the equivalent two bus system of a multi-bus power system. The proposed indicator is calculated for different contingent conditions at different system load configurations. The result of DSSI is verified with the standard indicator (VSI) which proves applicability of the proposed indicator. The bus voltages of all the buses at base loading and at maximum loading are evaluated for base data and for tripping of most critical line.
This document presents a new hybrid wind/solar energy system with a modified rectifier stage topology. The proposed topology fuses a Cuk converter and SEPIC converter, allowing each renewable energy source (wind and solar) to operate the rectifier stage individually or simultaneously. The topology eliminates the need for separate input filters and supports maximum power point tracking (MPPT) for each source. Simulation results are provided to validate the feasibility of the proposed system and its ability to step up/down the voltage from each source while achieving MPPT control through duty cycle modulation.
Vector control of wind driven self excited induction generator connected to g...Alexander Decker
The document describes a system for controlling a wind-driven self-excited induction generator connected to the grid using a 24-pulse AC-DC converter with pulse doubling technique. The system aims to improve power quality indices. A model of the system is developed in MATLAB/Simulink using a 3.5kW induction generator, 24-pulse diode bridge rectifier, and grid connection. Stator flux orientation control is used to regulate the generator voltage and frequency. Simulation results are presented to analyze the effectiveness of the proposed AC-DC converter under varying load conditions on the induction generator.
11.vector control of wind driven self excited induction generator connected t...Alexander Decker
This document summarizes a research paper that proposes a 24-pulse AC-DC converter system for a vector-controlled self-excited induction generator connected to the power grid. The system aims to improve power quality by reducing harmonic distortion. It uses an autotransformer-based rectifier with reduced rating magnetics and a pulse doubling technique. Simulation results in MATLAB/Simulink show the system is able to eliminate harmonics up to the 21st order and achieve near unity power factor over a wide operating range, with minimal effects observed from load variations. Transient responses during startup, load application, and short circuit events demonstrate the effectiveness of the proposed AC-DC converter design.
ENHANCING RELIABILITY BY RECONFIGURATION OF POWER DISTRIBUTION SYSTEMS CONSID...Suganthi Thangaraj
The paper describes an effective method to reconfigure a power distribution system using optimization techniques. Here genetic algorithm is used for the reconfiguration to enhance reliability and to reduce losses. The reliability at the load points is evaluated using probabilistic reliability approach. For finding minimal cut sets and losses different algorithms are used. To maximise the reliability and to reduce the losses, the status of the switch is controlled using genetic algorithm. The effectiveness of the system is tested in 33 bus distribution system.
Supercapacitors are electrical energy storage devices with a high specific power density, a long cycle life and a good efficiency, which make them attractive alternative storage devices for various applications. However, supercapacitors are subject to a progressive degradation of their perfor-mance because of aging phenomenon. Therefore, it is very important to be able to estimate their State-of-Health during operation. Electrochemical Impedance Spectroscopy (EIS) is a very recog-nized technique to determine supercapacitors’ state-of-health. However, it requires the interrup-tion of system operation and thus cannot be performed in real time (online). In this paper, a new online identification method is proposed based on extended Kalman observer combined with a complementary PID corrector. The proposed method allows to accurately estimating supercapacitor resistance and capacitance, which are the main indicators of supercapacitor state-of-health. The new online identification method was applied for two voltage/current profiles using two different supercapacitors. The resistance/capacitance estimated by the new method and the conventional EKF were compared with those obtained by an experimental offline method. In comparison with conventional EKF, the capacitance obtained by the new method is significantly more accurate.
Impact of hybrid FACTS devices on the stability of the Kenyan power system IJECEIAES
Flexible alternating current transmission system (FACTS) devices are deployed for improving power system’s stability either singly or as a combination. This research investigates hybrid FACTS devices and studies their impact on voltage, small-signal and transient stability simultaneously under various system disturbances. The simulations were done using five FACTS devices-static var compensator (SVC), static synchronous compensator (STATCOM), static synchronous series compensators (SSSC), thyristor controlled series compensator (TCSC) and unified power flow controller (UPFC) in MATLAB’s power system analysis toolbox (PSAT). These five devices were grouped into ten pairs and tested on Kenya’s transmission network under specific contingencies: the loss of a major generating machine and/or transmission line. The UPFC-STATCOM pair performed the best in all the three aspects under study. The settling times were 3 seconds and 3.05 seconds respectively for voltage and rotor angle improvement on the loss of a major generator at normal operation. The same pair gave settling times of 2.11 seconds and 3.12 seconds for voltage and rotor angle stability improvement respectively on the loss of a major transmission line at 140% system loading. From the study, two novel techniques were developed: A performance-based ranking system and classification for FACTS devices.
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation SystemIJPEDS-IAES
In this paper, fault ride through analysis of a low voltage distribution system
augmented with distributed wind generation using squirrel cage induction
generator and distribution static compensator (DSTATCOM) is carried out
through modeling and simulation study in MATLAB. The impact of
unbalanced (single line to ground) fault in a low voltage distribution system
in normal and severe conditions is studied and analyzed in details. Analysis
on system instability is also shown in case of sever fault condition. A
distribution Static Compensator (DSTATCOM) is used to improve fault ride
through (FRT) capability of wind generation system by compensating
positive sequence voltage. A comparison of dynamic response of the system
with and without DSTATCOM and effects of DSTATCOM on voltage and
generator speed are presented. The simulation results shows that
DSTATCOM is capable of reducing the voltage dips and improving the
voltage profiles by providing reactive power support to distributed wind
generation system under unbalanced fault condition and enhances the fault
ride through capability of the wind generator.
This document presents the dynamic modeling of a zeta converter using state-space averaging technique. It describes developing state-space models for the two switching states of the converter and averaging them to obtain an overall state-space model. The converter is modeled with equivalent series resistances on the capacitors and inductors. Full-state feedback control is then implemented on the converter model to regulate the output voltage. Simulation results are presented to verify the accuracy of the modeling and performance under input/load disturbances.
In this paper the harmonic stability is investigated for multi paralleled three-phase photovoltaic inverters connected to grid. The causes to harmonically stabilize/destabilize the multi-paralleled PV inverters when tied to the grid isanalysed by the impedance-based stability criterion (IBSC). In this paper stability of the system is investigated by varying the grid inductance with constant grid resistance and also by varying load impedance while maintaining grid inductance constant. Stability of the multiple three phase inverters tied to the grid with different grid impedance, inductance value inparticular are analyzed. Overall system is stable up to grid inductance of5mH even though there is change in load admittance. It is concluded that system stability depends only on grid impedance. It is verified with Matlab Simulations.
A modular abstraction is presented to implement model predictive control (MPC) on a three phase two level voltage source inverter to control its output current. Traditional ways of coded implementation do not provide insights into the complex nature of MPC; hence a more intuitive, logical and flexible approach for hardware implementation is conceptualized in the form of signal flow graphs (SFGs) for estimation, prediction and optimization. Simulation results show good performance of the approach and easier code generation for real time implementation. RL load is assumed for the inverter and the importance of choosing load inductance and sampling time ratio is emphasized for better control performance.
This document presents a study on using a Battery Energy Storage System (BESS) to control load frequency in a two-area interconnected power system. Conventional control methods like integral and PID controllers were unable to adequately control oscillations due to their slow response. The document proposes incorporating a BESS model that can provide fast active power compensation. Simulation results showed that using BESS, load frequency oscillations settled within 0.5-1 seconds after a disturbance, much faster than conventional controllers. This demonstrates that BESS is an effective technique for load frequency control in power systems.
Single Phase PV Grid-Connected in Smart Household Energy System with Anticipa...IJPEDS-IAES
This paper proposes an algorithm of Smart household energy systems to anticipate fault conditions in power system grid. Single phase PV grid- connected in smart household energy system is a smart system that determines electrical supply conditions to the load in residential electrical system. The smart system is consisted of two voltage source, conventional electricity system from national electricity provider as preferred source and photovoltaic as the alternative source. In smart system, fault conditions can be anticipated by selecting the appropriate voltage sources to supply the load. The condition of smart system can be described in power flow regulation to the load by detection and identification of amplitude, phase angle, and frequency of the voltage source compared to the system reference. The system mechanism is based on detection of voltage source using static transfer switch (STS) with phase locked loop (PLL) as voltage detection algorithm which output is used to determine decision logic algorithm for switching conditions. The results show that conditions of smart power system flow can be obtained based on voltage source selection in decision logic when fault condition occurs.
Power Flow Analysis of Island Business District 33KV Distribution Grid System...IJERA Editor
The solution to power flow is one of the most important problems in electrical power systems. Traditional methods have been previously used for power flow analysis, but with prevalent drawbacks such as abnormal operating solutions and divergences in heavy loads. This paper presents power flow analysis in a power system, by modelling a typical 33kV Distribution Network, and simulating using the NEPLAN software for power flow studies. Island Business Unit’s (IBU) 33kV network of Eko Electricity Distribution Plc (EKEDP) for a scenario day is taken as case study in the analysis. The most important parameters of power flow analysis is utilized to find the magnitude and phase angles of the voltages at each Busbar, as well as the real and reactive power flowing through each distribution line within the network under consideration.
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Speed Conrol of Separately Excited dc Motor using Fuzzy TechniqueIDES Editor
This paper presents the speed control of a separately
excited DC motor using Fuzzy Logic Control (FLC). The Fuzzy
Logic Controller designed in this study applies the required
control voltage based on motor speed error (e) and its change
(ce). The performance of the driver system was evaluated
through digital simulations using Simulink. The simulation
results show that the control with FLC outperforms PI control
in terms of overshoot, steady state error and rise time.
IRJET- Optimal Control of Multilevel Inverter to Minimize Harmonic Distortion...IRJET Journal
This document summarizes research on using multilevel inverters to minimize harmonic distortion from photovoltaic power generation arrays. It discusses 2-level, 3-level, 5-level and 7-level inverters and compares their performance. Selective harmonic elimination is also covered as a control strategy to reduce harmonic content by pre-determining switching angles. The document aims to show that multilevel inverters can help integrate renewable energy sources onto the grid more efficiently with lower voltage and current stresses on semiconductor switches.
This document summarizes a study that proposes a new method to improve voltage profiles in power systems by determining optimal locations for reactive power compensation devices like capacitor banks. The method utilizes modal analysis and calculates a reactive participation index (RPI) to identify buses that would most effectively improve voltage levels when compensated. The method is tested on the South Sulawesi power system in Indonesia, identifying key under-voltage buses. Capacitors are added iteratively at the buses with the highest RPI until all voltages are within limits. The results demonstrate improved voltage profiles and increased stability compared to alternative configurations.
Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using P...IJPEDS-IAES
A comparative study of three phase grid connected photovoltaic (PV)
inverter using Proportional-Integral (PI) controller and Fuzzy logic controller
(FLC) is presented in this paper. Proposed three phase inverter with single DC
source employing three phase transformer for grid connected PV system
controlled by using space vector pulse width modulation (SVPWM) technique.
PI and FLC are used as current controller for regulating the current. Perturb and
observe maximum power point technique (MPPT) is used for tracking of
maximum power from the PV panel. Finally total harmonic distortion (THD)
comparison made between two controllers for validation of results.
Furthermore swithing losses of inverter are also presented. The simulation
results are obtained using MATLAB simulink.
This document presents a modified controller for a unified power quality conditioner (UPQC) that adds static synchronous compensator (STATCOM) functionality. The modified controller provides additional benefits like reactive power compensation at the grid side through voltage regulation, in addition to voltage regulation at the load side. It discusses the configuration of traditional UPQC and interline UPQC (iUPQC), and how the modified controller for iUPQC is developed using Park's transformation. It incorporates a QSTATCOM component in the controller to provide grid voltage regulation capabilities. The controller inputs and outputs are described. The series converter synthesizes the current drawn from the grid, while the shunt converter synthesizes the voltage at the load terminal.
Interleaved Boost Converter (ILBC) is a better converter between Photo Voltaic(PV) source and shunt active power filter. This paper deals with comparison of time domain outputs of PI and Fractional Order PID(FOPID) controlled ILBC fed shunt active filter in a grid connected PV system. The aim of this work is to minimize current ripple using ILBC between PV system and filter to improve the dynamic performance of shunt active filter. Closed loop monitored PI and FOPID systems are modeled, and the corresponding results are presented. MATLAB results of load voltage, current, converter voltage and currents with FOPID exhibits enhanced dynamic response. The proposed FOPID controlled ILBC Fed Shunt Active Filter system (ILBCFSAF) has advantages like low settling time, less peak over shoot and reduced steady state error in load voltage. The simulation results of ILBCSAF are compared with the corresponding hardware results.
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IRJET-Power Flow & Voltage Stability Analysis using MATLAB IRJET Journal
This document presents a MATLAB program for power flow analysis and voltage stability analysis of power systems. It begins with an introduction to power flow analysis and its importance. It then discusses voltage stability concepts like voltage collapse and improvement methods. The methodology section describes the Newton-Raphson power flow method and P-V and Q-V curves used for voltage stability analysis. It also provides the algorithm and case study details for the IEEE 14 bus system implemented in MATLAB. The program allows for power flow solutions, calculation of P-V and Q-V curves, and voltage stability assessment of power systems.
Power Flow & Voltage Stability Analysis using MATLAB IRJET Journal
This document presents a MATLAB program for power flow analysis and voltage stability analysis of power systems. It begins with an introduction to power flow analysis and its importance. It then discusses voltage stability concepts like voltage collapse and improvement methods. The methodology section describes the Newton-Raphson power flow method and P-V and Q-V curves used for voltage stability analysis. It also provides the algorithm and case study details for the IEEE 14 bus system implemented in MATLAB. The program allows for power flow solutions, calculation of P-V and Q-V curves, and voltage stability assessment of power systems.
ENHANCING RELIABILITY BY RECONFIGURATION OF POWER DISTRIBUTION SYSTEMS CONSID...Suganthi Thangaraj
The paper describes an effective method to reconfigure a power distribution system using optimization techniques. Here genetic algorithm is used for the reconfiguration to enhance reliability and to reduce losses. The reliability at the load points is evaluated using probabilistic reliability approach. For finding minimal cut sets and losses different algorithms are used. To maximise the reliability and to reduce the losses, the status of the switch is controlled using genetic algorithm. The effectiveness of the system is tested in 33 bus distribution system.
Supercapacitors are electrical energy storage devices with a high specific power density, a long cycle life and a good efficiency, which make them attractive alternative storage devices for various applications. However, supercapacitors are subject to a progressive degradation of their perfor-mance because of aging phenomenon. Therefore, it is very important to be able to estimate their State-of-Health during operation. Electrochemical Impedance Spectroscopy (EIS) is a very recog-nized technique to determine supercapacitors’ state-of-health. However, it requires the interrup-tion of system operation and thus cannot be performed in real time (online). In this paper, a new online identification method is proposed based on extended Kalman observer combined with a complementary PID corrector. The proposed method allows to accurately estimating supercapacitor resistance and capacitance, which are the main indicators of supercapacitor state-of-health. The new online identification method was applied for two voltage/current profiles using two different supercapacitors. The resistance/capacitance estimated by the new method and the conventional EKF were compared with those obtained by an experimental offline method. In comparison with conventional EKF, the capacitance obtained by the new method is significantly more accurate.
Impact of hybrid FACTS devices on the stability of the Kenyan power system IJECEIAES
Flexible alternating current transmission system (FACTS) devices are deployed for improving power system’s stability either singly or as a combination. This research investigates hybrid FACTS devices and studies their impact on voltage, small-signal and transient stability simultaneously under various system disturbances. The simulations were done using five FACTS devices-static var compensator (SVC), static synchronous compensator (STATCOM), static synchronous series compensators (SSSC), thyristor controlled series compensator (TCSC) and unified power flow controller (UPFC) in MATLAB’s power system analysis toolbox (PSAT). These five devices were grouped into ten pairs and tested on Kenya’s transmission network under specific contingencies: the loss of a major generating machine and/or transmission line. The UPFC-STATCOM pair performed the best in all the three aspects under study. The settling times were 3 seconds and 3.05 seconds respectively for voltage and rotor angle improvement on the loss of a major generator at normal operation. The same pair gave settling times of 2.11 seconds and 3.12 seconds for voltage and rotor angle stability improvement respectively on the loss of a major transmission line at 140% system loading. From the study, two novel techniques were developed: A performance-based ranking system and classification for FACTS devices.
Fault Ride-Through capability of DSTATCOM for Distributed Wind Generation SystemIJPEDS-IAES
In this paper, fault ride through analysis of a low voltage distribution system
augmented with distributed wind generation using squirrel cage induction
generator and distribution static compensator (DSTATCOM) is carried out
through modeling and simulation study in MATLAB. The impact of
unbalanced (single line to ground) fault in a low voltage distribution system
in normal and severe conditions is studied and analyzed in details. Analysis
on system instability is also shown in case of sever fault condition. A
distribution Static Compensator (DSTATCOM) is used to improve fault ride
through (FRT) capability of wind generation system by compensating
positive sequence voltage. A comparison of dynamic response of the system
with and without DSTATCOM and effects of DSTATCOM on voltage and
generator speed are presented. The simulation results shows that
DSTATCOM is capable of reducing the voltage dips and improving the
voltage profiles by providing reactive power support to distributed wind
generation system under unbalanced fault condition and enhances the fault
ride through capability of the wind generator.
This document presents the dynamic modeling of a zeta converter using state-space averaging technique. It describes developing state-space models for the two switching states of the converter and averaging them to obtain an overall state-space model. The converter is modeled with equivalent series resistances on the capacitors and inductors. Full-state feedback control is then implemented on the converter model to regulate the output voltage. Simulation results are presented to verify the accuracy of the modeling and performance under input/load disturbances.
In this paper the harmonic stability is investigated for multi paralleled three-phase photovoltaic inverters connected to grid. The causes to harmonically stabilize/destabilize the multi-paralleled PV inverters when tied to the grid isanalysed by the impedance-based stability criterion (IBSC). In this paper stability of the system is investigated by varying the grid inductance with constant grid resistance and also by varying load impedance while maintaining grid inductance constant. Stability of the multiple three phase inverters tied to the grid with different grid impedance, inductance value inparticular are analyzed. Overall system is stable up to grid inductance of5mH even though there is change in load admittance. It is concluded that system stability depends only on grid impedance. It is verified with Matlab Simulations.
A modular abstraction is presented to implement model predictive control (MPC) on a three phase two level voltage source inverter to control its output current. Traditional ways of coded implementation do not provide insights into the complex nature of MPC; hence a more intuitive, logical and flexible approach for hardware implementation is conceptualized in the form of signal flow graphs (SFGs) for estimation, prediction and optimization. Simulation results show good performance of the approach and easier code generation for real time implementation. RL load is assumed for the inverter and the importance of choosing load inductance and sampling time ratio is emphasized for better control performance.
This document presents a study on using a Battery Energy Storage System (BESS) to control load frequency in a two-area interconnected power system. Conventional control methods like integral and PID controllers were unable to adequately control oscillations due to their slow response. The document proposes incorporating a BESS model that can provide fast active power compensation. Simulation results showed that using BESS, load frequency oscillations settled within 0.5-1 seconds after a disturbance, much faster than conventional controllers. This demonstrates that BESS is an effective technique for load frequency control in power systems.
Single Phase PV Grid-Connected in Smart Household Energy System with Anticipa...IJPEDS-IAES
This paper proposes an algorithm of Smart household energy systems to anticipate fault conditions in power system grid. Single phase PV grid- connected in smart household energy system is a smart system that determines electrical supply conditions to the load in residential electrical system. The smart system is consisted of two voltage source, conventional electricity system from national electricity provider as preferred source and photovoltaic as the alternative source. In smart system, fault conditions can be anticipated by selecting the appropriate voltage sources to supply the load. The condition of smart system can be described in power flow regulation to the load by detection and identification of amplitude, phase angle, and frequency of the voltage source compared to the system reference. The system mechanism is based on detection of voltage source using static transfer switch (STS) with phase locked loop (PLL) as voltage detection algorithm which output is used to determine decision logic algorithm for switching conditions. The results show that conditions of smart power system flow can be obtained based on voltage source selection in decision logic when fault condition occurs.
Power Flow Analysis of Island Business District 33KV Distribution Grid System...IJERA Editor
The solution to power flow is one of the most important problems in electrical power systems. Traditional methods have been previously used for power flow analysis, but with prevalent drawbacks such as abnormal operating solutions and divergences in heavy loads. This paper presents power flow analysis in a power system, by modelling a typical 33kV Distribution Network, and simulating using the NEPLAN software for power flow studies. Island Business Unit’s (IBU) 33kV network of Eko Electricity Distribution Plc (EKEDP) for a scenario day is taken as case study in the analysis. The most important parameters of power flow analysis is utilized to find the magnitude and phase angles of the voltages at each Busbar, as well as the real and reactive power flowing through each distribution line within the network under consideration.
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Speed Conrol of Separately Excited dc Motor using Fuzzy TechniqueIDES Editor
This paper presents the speed control of a separately
excited DC motor using Fuzzy Logic Control (FLC). The Fuzzy
Logic Controller designed in this study applies the required
control voltage based on motor speed error (e) and its change
(ce). The performance of the driver system was evaluated
through digital simulations using Simulink. The simulation
results show that the control with FLC outperforms PI control
in terms of overshoot, steady state error and rise time.
IRJET- Optimal Control of Multilevel Inverter to Minimize Harmonic Distortion...IRJET Journal
This document summarizes research on using multilevel inverters to minimize harmonic distortion from photovoltaic power generation arrays. It discusses 2-level, 3-level, 5-level and 7-level inverters and compares their performance. Selective harmonic elimination is also covered as a control strategy to reduce harmonic content by pre-determining switching angles. The document aims to show that multilevel inverters can help integrate renewable energy sources onto the grid more efficiently with lower voltage and current stresses on semiconductor switches.
This document summarizes a study that proposes a new method to improve voltage profiles in power systems by determining optimal locations for reactive power compensation devices like capacitor banks. The method utilizes modal analysis and calculates a reactive participation index (RPI) to identify buses that would most effectively improve voltage levels when compensated. The method is tested on the South Sulawesi power system in Indonesia, identifying key under-voltage buses. Capacitors are added iteratively at the buses with the highest RPI until all voltages are within limits. The results demonstrate improved voltage profiles and increased stability compared to alternative configurations.
Comparative Study of Three Phase Grid Connected Photovoltaic Inverter Using P...IJPEDS-IAES
A comparative study of three phase grid connected photovoltaic (PV)
inverter using Proportional-Integral (PI) controller and Fuzzy logic controller
(FLC) is presented in this paper. Proposed three phase inverter with single DC
source employing three phase transformer for grid connected PV system
controlled by using space vector pulse width modulation (SVPWM) technique.
PI and FLC are used as current controller for regulating the current. Perturb and
observe maximum power point technique (MPPT) is used for tracking of
maximum power from the PV panel. Finally total harmonic distortion (THD)
comparison made between two controllers for validation of results.
Furthermore swithing losses of inverter are also presented. The simulation
results are obtained using MATLAB simulink.
This document presents a modified controller for a unified power quality conditioner (UPQC) that adds static synchronous compensator (STATCOM) functionality. The modified controller provides additional benefits like reactive power compensation at the grid side through voltage regulation, in addition to voltage regulation at the load side. It discusses the configuration of traditional UPQC and interline UPQC (iUPQC), and how the modified controller for iUPQC is developed using Park's transformation. It incorporates a QSTATCOM component in the controller to provide grid voltage regulation capabilities. The controller inputs and outputs are described. The series converter synthesizes the current drawn from the grid, while the shunt converter synthesizes the voltage at the load terminal.
Interleaved Boost Converter (ILBC) is a better converter between Photo Voltaic(PV) source and shunt active power filter. This paper deals with comparison of time domain outputs of PI and Fractional Order PID(FOPID) controlled ILBC fed shunt active filter in a grid connected PV system. The aim of this work is to minimize current ripple using ILBC between PV system and filter to improve the dynamic performance of shunt active filter. Closed loop monitored PI and FOPID systems are modeled, and the corresponding results are presented. MATLAB results of load voltage, current, converter voltage and currents with FOPID exhibits enhanced dynamic response. The proposed FOPID controlled ILBC Fed Shunt Active Filter system (ILBCFSAF) has advantages like low settling time, less peak over shoot and reduced steady state error in load voltage. The simulation results of ILBCSAF are compared with the corresponding hardware results.
International Journal of Engineering Research and DevelopmentIJERD Editor
Electrical, Electronics and Computer Engineering,
Information Engineering and Technology,
Mechanical, Industrial and Manufacturing Engineering,
Automation and Mechatronics Engineering,
Material and Chemical Engineering,
Civil and Architecture Engineering,
Biotechnology and Bio Engineering,
Environmental Engineering,
Petroleum and Mining Engineering,
Marine and Agriculture engineering,
Aerospace Engineering.
Welcome to International Journal of Engineering Research and Development (IJERD)IJERD Editor
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IRJET-Power Flow & Voltage Stability Analysis using MATLAB IRJET Journal
This document presents a MATLAB program for power flow analysis and voltage stability analysis of power systems. It begins with an introduction to power flow analysis and its importance. It then discusses voltage stability concepts like voltage collapse and improvement methods. The methodology section describes the Newton-Raphson power flow method and P-V and Q-V curves used for voltage stability analysis. It also provides the algorithm and case study details for the IEEE 14 bus system implemented in MATLAB. The program allows for power flow solutions, calculation of P-V and Q-V curves, and voltage stability assessment of power systems.
Power Flow & Voltage Stability Analysis using MATLAB IRJET Journal
This document presents a MATLAB program for power flow analysis and voltage stability analysis of power systems. It begins with an introduction to power flow analysis and its importance. It then discusses voltage stability concepts like voltage collapse and improvement methods. The methodology section describes the Newton-Raphson power flow method and P-V and Q-V curves used for voltage stability analysis. It also provides the algorithm and case study details for the IEEE 14 bus system implemented in MATLAB. The program allows for power flow solutions, calculation of P-V and Q-V curves, and voltage stability assessment of power systems.
Selective localization of capacitor banks considering stability aspects in po...IAEME Publication
The issue of voltage stability has become predominant in larger power systems, since the
system is operated close to its capabilities in recent years. Addressing this concern considering the
economic constraints is a challenge .This draws attention towards the localization of the reactive
components that can improve the overall voltage profile in the system. This paper discusses a
methodology for suitable selection of position (bus) for the placement of capacitor bank wherein the
injection of fixed amount of reactive power is made to depict a picture of the overall improved
voltage in the system considering the stability aspect for respective injection at that bus. The reduced
jacobian is used to determine the impact of reactive power injection in the form of system voltage
improvement.
This document describes a method for solving voltage stability problems in electrical power systems using Field Programmable Gate Array (FPGA) circuits. The modal analysis method and Q-V curves are used to analyze voltage stability and identify weak buses. Two Spartan 3 FPGAs are used - one to receive power system data from a computer and the other to transmit data to network components to implement reactive power corrections online using wireless communication. The method is demonstrated on the 9-bus WSCC test system, where bus 5 is identified as the weakest bus. Q-V curves confirm this and show stability margins increase after compensation is applied through the FPGA system.
LOAD SHEDDING DESIGN FOR AN INDUSTRIAL COGENERATION SYSTEMELELIJ
This document summarizes a research paper that proposes using an artificial neural network (ANN) to design an adaptive load shedding scheme for an industrial cogeneration power system. The paper describes modeling the cogeneration system in ETAP software and using it to generate training data for the ANN by simulating different operating scenarios. The ANN is trained to determine the minimum amount of load shedding needed based on inputs like generation, load, and frequency change rate. Compared to conventional under-frequency relay load shedding, the ANN approach aims to more accurately calculate the needed load reduction while maintaining power to critical loads. Simulation results demonstrate the ANN scheme's effectiveness at stabilizing system frequency during contingencies with generation-load mismatches
Steady state stability analysis and enhancement of three machine nine bus pow...eSAT Journals
This document presents an analysis of steady state stability for the IEEE 3-machine 9-bus test power system. It first describes the mathematical modeling of the system using linearization and state space representation. Eigenvalue analysis shows the system is purely oscillatory without damping. A thyristor controlled phase shifter (TCPS) FACTS device-based controller is then modeled to enhance stability. The system is analyzed with and without the controller. Results show the controller provides damping, improving stability as seen in eigenvalue analysis and time domain simulations following a disturbance.
International Journal of Engineering Research and Development (IJERD)IJERD Editor
journal publishing, how to publish research paper, Call For research paper, international journal, publishing a paper, IJERD, journal of science and technology, how to get a research paper published, publishing a paper, publishing of journal, publishing of research paper, reserach and review articles, IJERD Journal, How to publish your research paper, publish research paper, open access engineering journal, Engineering journal, Mathemetics journal, Physics journal, Chemistry journal, Computer Engineering, Computer Science journal, how to submit your paper, peer reviw journal, indexed journal, reserach and review articles, engineering journal, www.ijerd.com, research journals,
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Reliability Analysis of a 3-Machine Power Station Using State Space ApproachIJERA Editor
With the advent of high-integrity fault-tolerant systems, the ability to account for repairs of partially failed (but still operational) systems become increasingly important. This paper presents a systemic method of determining the reliability of a 3-machine electric power station, taking into consideration the failure rates and repair rates of the individual component (machine) that make up the system. A state-space transition process for a 3-machine with 23 states was developed and consequently, steady state equations were generated based on Markov mathematical modeling of the power station. Important reliability components were deduced from this analysis. This research simulation was achieved with codes written in Excel®-VBA programming environment. System reliability using state space approach proofs to be a viable and efficient technique of reliability prediction as it is able to predict the state of the system under consideration. For the purpose of neatness and easy entry of data, Graphic User Interface (GUI) was designed.
Aircraft Electrical Power Generation & Distribution System Units Through an A...IJMTST Journal
This paper illustrates a generic Electrical Power Generation & Distribution System. The AC power frequency is variable and depends of the engine speed. The represents the generator mechanical drive and is modeled by a simple signal builder, which provides the mechanical speed of the engine shaft.The represents the power AC generator. It is composed of a modified version of the simplified synchronous machine. The mechanical input of the modified machine of 50 kW is the engine speed. The Generator Control Unit regulates the voltage of the generator to 200 volts line to line.The represents the Primary Distribution system. It is composed of three current and voltage sensors. There is also a 3-phase contactor controlled by the Generator Control Unit. Finally, a parasitic resistive load is required to avoid numerical oscillations. The section represents the secondary Power Distribution system. It is represented by 4 circuit breakers with adjustable current trip. The section represents the AC loads. There is a 4 kW Transformer and Rectifier Unit (which supplies 28 Vdc), a 12 kW induction machine (motor driving a pump), a 1 kW resistive load (lamps) and a 3 hp simplified (using an average value inverter) brushless DC drive (motor driving a ballscrew actuator)
Performance analysis of a single phase ac voltage controller under induction ...eSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Switched DC Sources Based Novel Multilevel InverterIRJET Journal
This document summarizes a research paper on a novel multilevel inverter topology that uses switched DC sources. The proposed topology connects alternate DC sources in opposite polarities through power switches, significantly reducing the number of switches compared to existing topologies. The operating principle of a single-phase five-level inverter using two DC sources is demonstrated. Mathematical equations are provided to describe the output voltage, source currents, voltage stresses on switches, and number of output levels for the generalized topology. Losses associated with the power switches are also discussed.
This paper presents the analysis, modeling and control of a grid connected photovoltaic generation system. The model contains a detailed representation of the solar array, grid side multilevel neutral point clamped voltage source inverter. Fuzzy logic controller for the maximum power point tracking of a photovoltaic system under variable temperature and insulation conditions is discussed. The PQ control approach has been presented for the multilevel inverter. One of the most common control strategies structures applied to decentralized power generator is based on power direct control employing a controller for the dc link voltage and a controller to regulate the injected current to the utility network. The proposed models were implemented in Matlab/Simulink.
This paper presents a grid-connected photovoltaic system (PV) used as a shunt active power filter (SAPF) to provide the power factor correction, harmonic elimination, reactive power compensation and to simultaneously supply power from a PV system to the utility. A direct power control (DPC) method is used for controlling the system to feed the photovoltaic energy in synchronization with grid and provide power quality improvement. The PI parameters of DC-link voltage controller are tuned using the Particle Swarm Optimization (PSO) algorithm without the need for an exact mathematical model of system. This PI-PSO controller gives better results for robustness, harmonic minimization and reduces the overshoot and undershoots of PI controller. The overall control of system is tested in Matlab/Simulink environment. Then, the simulations results demonstrate the robustness and feasibility of proposed method.
IRJET- PI Controller based Shunt Connected Three Phase Active Power FilterIRJET Journal
This document describes a simulation of a shunt active power filter with a PI controller to mitigate current harmonics from nonlinear loads. It begins with an introduction to power quality issues caused by nonlinear loads and an overview of active power filters. It then describes the system configuration, including the PI controller used to regulate the DC link voltage of the active power filter inverter. Simulation results in MATLAB/Simulink show the PI controller is effective at eliminating current harmonics on the source side, improving the power factor to near unity and reducing the total harmonic distortion to 2.22%. The system is concluded to offer fast compensation of current harmonics and improved power quality through use of the shunt active power filter with PI control.
Convergence Problems Of Contingency Analysis In Electrical Power Transmission...CSCJournals
Contingency analysis is a tool used by power system engineers for planning and assessing
power system reliability. The conventional analytical method which is mathematical model based,
is not only tedious and time consuming in view of the large number of components in the network
but always left some critical components unassessed due to non-convergence of the power flow
analysis of such, hence the contingency analysis of such system could not be said to be
completed.
In this work, contingency analysis of line components of a standard IEEE-30 Bus and real 330-kV
Nigerian Transmission Company of Nigeria (TCN) network (28Bus) systems were investigated
using Radial Basis Function Neural Network (RBF-NN) which is artificial intelligence based.
The contingency analysis was carried out by solving the non-linear algebraic equations of steady
state model for the standard IEEE-30 Bus and TCN-28 Bus power networks using NewtonRaphson
(N-R) power flow method. RBF-NN method was used for the computation of Reactive
and Active performance indices (PIR and PIA ) which were ranked in order to reveal the criticality
of each line outage. Simulation was carried out using MATLAB R2013a version. The nonconverged
lines in both systems were reinforced and re-analysed. The results of contingency
analyses of the reinforced systems show more robust systems with complete line ranking.
Shashwat Shekhar's work portfolio summarizes his education and experience in electrical engineering. He has a Master's degree from the University of Texas at Arlington in electrical engineering and interned at Xcel Energy doing transmission planning engineering work, including NERC reliability standard contingency analyses. His internship responsibilities involved power flow and transient stability modeling, contingency testing, and developing VBA code. He also interned in India performing generator interconnection analysis. His academic projects include designing an inverse-time overcurrent relay and developing algorithms for static VAR compensation and adaptive solar energy prediction.
Reactive power aspects in reliability assessment of power systemsIAEME Publication
This document discusses reactive power aspects in power system reliability assessment. It begins by noting that while reactive power plays an important role in operations, it is seldom considered in reliability evaluations. It then proposes several ideas:
1) Define new reliability indices to represent the effects of reactive power shortages on reliability, separate from real power shortages.
2) Consider failures of reactive power sources and incorporate reactive power limits determined by generators' real power outputs.
3) Propose a reactive power injection technique to determine possible shortages and locations.
4) Modify an IEEE test system to illustrate the proposed approach and provide planners/operators information on real and reactive power management.
Transient stability analysis on a multi machine system in psateSAT Journals
Abstract
Modern power system are subject to large disturbances such as three phase short circuit faults. When a fault occurs on a system
the generators rotor angle becomes unstable and thus it losses synchronism with the system and it becomes unstable. Thus
transient stability analysis can be performed on a system in order to understand the generators performance when subjected to a
short circuit fault. When the system is subjected to a fault the generator experiences transient oscillations in rotor speed and
angle which can be effectively suppressed with the incorporation of Automatic Voltage Regulator (AVR) and Power System
Stabilizer (PSS). The simulations have been performed using the MATLAB/PSAT software.
Keywords—Transient stability, Three phase fault Faults, AVR, PSS.
International Journal of Engineering and Science Invention (IJESI)inventionjournals
This document summarizes a research paper on improving voltage stability and reducing losses in distribution networks through distributed generation. The paper analyzes how distributed generation capacity and location can enhance voltage stability in a real distribution network. It presents a method to determine the steady-state voltage stability region of each bus in a distribution system. Simulation results show that distributed generation can reduce line losses by supplying power locally, with losses decreasing as generation is placed closer to loads. Both the capacity and location of distributed generation significantly impact line losses.
Several algorithms have been offered to track the Maximum Power Point when we have one maximum power point. Moreover, fuzzy control and neural was utilized to track the Maximum Power Point when we have multi-peaks power points. In this paper, we will propose an improved Maximum Power Point tracking method for the photovoltaic system utilizing a modified PSO algorithm. The main advantage of the method is the decreasing of the steady state oscillation (to practically zero) once the Maximum Power Point is located. moreover, the proposed method has the ability to track the Maximum Power Point for the extreme environmental condition that cause the presence of maximum multi-power points, for example, partial shading condition and large fluctuations of insolation. To evaluate the effectiveness of the proposed method, MATLAB simulations are carried out under very challenging circumstance, namely step changes in irradiance, step changes in load, and partial shading of the Photovoltaic array. Finally, its performance is compared with the perturbation and observation” and fuzzy logic results for the single peak, and the neural-fuzzy control results for the multi-peaks.
Similar to Generator Assessment of Hydro Power Station Adequacy after Reconstruction from Classical to HIS SF6 Substation (20)
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Advanced control scheme of doubly fed induction generator for wind turbine us...IJECEIAES
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Neural network optimizer of proportional-integral-differential controller par...IJECEIAES
Wide application of proportional-integral-differential (PID)-regulator in industry requires constant improvement of methods of its parameters adjustment. The paper deals with the issues of optimization of PID-regulator parameters with the use of neural network technology methods. A methodology for choosing the architecture (structure) of neural network optimizer is proposed, which consists in determining the number of layers, the number of neurons in each layer, as well as the form and type of activation function. Algorithms of neural network training based on the application of the method of minimizing the mismatch between the regulated value and the target value are developed. The method of back propagation of gradients is proposed to select the optimal training rate of neurons of the neural network. The neural network optimizer, which is a superstructure of the linear PID controller, allows increasing the regulation accuracy from 0.23 to 0.09, thus reducing the power consumption from 65% to 53%. The results of the conducted experiments allow us to conclude that the created neural superstructure may well become a prototype of an automatic voltage regulator (AVR)-type industrial controller for tuning the parameters of the PID controller.
An improved modulation technique suitable for a three level flying capacitor ...IJECEIAES
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
A review on features and methods of potential fishing zoneIJECEIAES
This review focuses on the importance of identifying potential fishing zones in seawater for sustainable fishing practices. It explores features like sea surface temperature (SST) and sea surface height (SSH), along with classification methods such as classifiers. The features like SST, SSH, and different classifiers used to classify the data, have been figured out in this review study. This study underscores the importance of examining potential fishing zones using advanced analytical techniques. It thoroughly explores the methodologies employed by researchers, covering both past and current approaches. The examination centers on data characteristics and the application of classification algorithms for classification of potential fishing zones. Furthermore, the prediction of potential fishing zones relies significantly on the effectiveness of classification algorithms. Previous research has assessed the performance of models like support vector machines, naïve Bayes, and artificial neural networks (ANN). In the previous result, the results of support vector machine (SVM) were 97.6% more accurate than naive Bayes's 94.2% to classify test data for fisheries classification. By considering the recent works in this area, several recommendations for future works are presented to further improve the performance of the potential fishing zone models, which is important to the fisheries community.
Electrical signal interference minimization using appropriate core material f...IJECEIAES
As demand for smaller, quicker, and more powerful devices rises, Moore's law is strictly followed. The industry has worked hard to make little devices that boost productivity. The goal is to optimize device density. Scientists are reducing connection delays to improve circuit performance. This helped them understand three-dimensional integrated circuit (3D IC) concepts, which stack active devices and create vertical connections to diminish latency and lower interconnects. Electrical involvement is a big worry with 3D integrates circuits. Researchers have developed and tested through silicon via (TSV) and substrates to decrease electrical wave involvement. This study illustrates a novel noise coupling reduction method using several electrical involvement models. A 22% drop in electrical involvement from wave-carrying to victim TSVs introduces this new paradigm and improves system performance even at higher THz frequencies.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
Fossil fuel consumption increased quickly, contributing to climate change
that is evident in unusual flooding and draughts, and global warming. Over
the past ten years, women's involvement in society has grown dramatically,
and they succeeded in playing a noticeable role in reducing climate change.
A bibliometric analysis of data from the last ten years has been carried out to
examine the role of women in addressing the climate change. The analysis's
findings discussed the relevant to the sustainable development goals (SDGs),
particularly SDG 7 and SDG 13. The results considered contributions made
by women in the various sectors while taking geographic dispersion into
account. The bibliometric analysis delves into topics including women's
leadership in environmental groups, their involvement in policymaking, their
contributions to sustainable development projects, and the influence of
gender diversity on attempts to mitigate climate change. This study's results
highlight how women have influenced policies and actions related to climate
change, point out areas of research deficiency and recommendations on how
to increase role of the women in addressing the climate change and
achieving sustainability. To achieve more successful results, this initiative
aims to highlight the significance of gender equality and encourage
inclusivity in climate change decision-making processes.
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
The active and reactive load changes have a significant impact on voltage
and frequency. In this paper, in order to stabilize the microgrid (MG) against
load variations in islanding mode, the active and reactive power of all
distributed generators (DGs), including energy storage (battery), diesel
generator, and micro-turbine, are controlled. The micro-turbine generator is
connected to MG through a three-phase to three-phase matrix converter, and
the droop control method is applied for controlling the voltage and
frequency of MG. In addition, a method is introduced for voltage and
frequency control of micro-turbines in the transition state from gridconnected mode to islanding mode. A novel switching strategy of the matrix
converter is used for converting the high-frequency output voltage of the
micro-turbine to the grid-side frequency of the utility system. Moreover,
using the switching strategy, the low-order harmonics in the output current
and voltage are not produced, and consequently, the size of the output filter
would be reduced. In fact, the suggested control strategy is load-independent
and has no frequency conversion restrictions. The proposed approach for
voltage and frequency regulation demonstrates exceptional performance and
favorable response across various load alteration scenarios. The suggested
strategy is examined in several scenarios in the MG test systems, and the
simulation results are addressed.
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
Precisely characterizing Li-ion batteries is essential for optimizing their
performance, enhancing safety, and prolonging their lifespan across various
applications, such as electric vehicles and renewable energy systems. This
article introduces an innovative nonlinear methodology for system
identification of a Li-ion battery, employing a nonlinear autoregressive with
exogenous inputs (NARX) model. The proposed approach integrates the
benefits of nonlinear modeling with the adaptability of the NARX structure,
facilitating a more comprehensive representation of the intricate
electrochemical processes within the battery. Experimental data collected
from a Li-ion battery operating under diverse scenarios are employed to
validate the effectiveness of the proposed methodology. The identified
NARX model exhibits superior accuracy in predicting the battery's behavior
compared to traditional linear models. This study underscores the
importance of accounting for nonlinearities in battery modeling, providing
insights into the intricate relationships between state-of-charge, voltage, and
current under dynamic conditions.
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
Smart grids are one of the last decades' innovations in electrical energy.
They bring relevant advantages compared to the traditional grid and
significant interest from the research community. Assessing the field's
evolution is essential to propose guidelines for facing new and future smart
grid challenges. In addition, knowing the main technologies involved in the
deployment of smart grids (SGs) is important to highlight possible
shortcomings that can be mitigated by developing new tools. This paper
contributes to the research trends mentioned above by focusing on two
objectives. First, a bibliometric analysis is presented to give an overview of
the current research level about smart grid deployment. Second, a survey of
the main technological approaches used for smart grid implementation and
their contributions are highlighted. To that effect, we searched the Web of
Science (WoS), and the Scopus databases. We obtained 5,663 documents
from WoS and 7,215 from Scopus on smart grid implementation or
deployment. With the extraction limitation in the Scopus database, 5,872 of
the 7,215 documents were extracted using a multi-step process. These two
datasets have been analyzed using a bibliometric tool called bibliometrix.
The main outputs are presented with some recommendations for future
research.
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
One of the problems that are associated to power systems is islanding
condition, which must be rapidly and properly detected to prevent any
negative consequences on the system's protection, stability, and security.
This paper offers a thorough overview of several islanding detection
strategies, which are divided into two categories: classic approaches,
including local and remote approaches, and modern techniques, including
techniques based on signal processing and computational intelligence.
Additionally, each approach is compared and assessed based on several
factors, including implementation costs, non-detected zones, declining
power quality, and response times using the analytical hierarchy process
(AHP). The multi-criteria decision-making analysis shows that the overall
weight of passive methods (24.7%), active methods (7.8%), hybrid methods
(5.6%), remote methods (14.5%), signal processing-based methods (26.6%),
and computational intelligent-based methods (20.8%) based on the
comparison of all criteria together. Thus, it can be seen from the total weight
that hybrid approaches are the least suitable to be chosen, while signal
processing-based methods are the most appropriate islanding detection
method to be selected and implemented in power system with respect to the
aforementioned factors. Using Expert Choice software, the proposed
hierarchy model is studied and examined.
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
The power generated by photovoltaic (PV) systems is influenced by
environmental factors. This variability hampers the control and utilization of
solar cells' peak output. In this study, a single-stage grid-connected PV
system is designed to enhance power quality. Our approach employs fuzzy
logic in the direct power control (DPC) of a three-phase voltage source
inverter (VSI), enabling seamless integration of the PV connected to the
grid. Additionally, a fuzzy logic-based maximum power point tracking
(MPPT) controller is adopted, which outperforms traditional methods like
incremental conductance (INC) in enhancing solar cell efficiency and
minimizing the response time. Moreover, the inverter's real-time active and
reactive power is directly managed to achieve a unity power factor (UPF).
The system's performance is assessed through MATLAB/Simulink
implementation, showing marked improvement over conventional methods,
particularly in steady-state and varying weather conditions. For solar
irradiances of 500 and 1,000 W/m2
, the results show that the proposed
method reduces the total harmonic distortion (THD) of the injected current
to the grid by approximately 46% and 38% compared to conventional
methods, respectively. Furthermore, we compare the simulation results with
IEEE standards to evaluate the system's grid compatibility.
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
Photovoltaic systems have emerged as a promising energy resource that
caters to the future needs of society, owing to their renewable, inexhaustible,
and cost-free nature. The power output of these systems relies on solar cell
radiation and temperature. In order to mitigate the dependence on
atmospheric conditions and enhance power tracking, a conventional
approach has been improved by integrating various methods. To optimize
the generation of electricity from solar systems, the maximum power point
tracking (MPPT) technique is employed. To overcome limitations such as
steady-state voltage oscillations and improve transient response, two
traditional MPPT methods, namely fuzzy logic controller (FLC) and perturb
and observe (P&O), have been modified. This research paper aims to
simulate and validate the step size of the proposed modified P&O and FLC
techniques within the MPPT algorithm using MATLAB/Simulink for
efficient power tracking in photovoltaic systems.
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
Robot manipulators have become important equipment in production lines, medical fields, and transportation. Improving the quality of trajectory tracking for
robot hands is always an attractive topic in the research community. This is a
challenging problem because robot manipulators are complex nonlinear systems
and are often subject to fluctuations in loads and external disturbances. This
article proposes an adaptive synchronous sliding control scheme to improve trajectory tracking performance for a robot manipulator. The proposed controller
ensures that the positions of the joints track the desired trajectory, synchronize
the errors, and significantly reduces chattering. First, the synchronous tracking
errors and synchronous sliding surfaces are presented. Second, the synchronous
tracking error dynamics are determined. Third, a robust adaptive control law is
designed,the unknown components of the model are estimated online by the neural network, and the parameters of the switching elements are selected by fuzzy
logic. The built algorithm ensures that the tracking and approximation errors
are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
significantly reduced.
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
A remote laboratory utilizing field-programmable gate array (FPGA) technologies enhances students’ learning experience anywhere and anytime in embedded system design. Existing remote laboratories prioritize hardware access and visual feedback for observing board behavior after programming, neglecting comprehensive debugging tools to resolve errors that require internal signal acquisition. This paper proposes a novel remote embeddedsystem design approach targeting FPGA technologies that are fully interactive via a web-based platform. Our solution provides FPGA board access and debugging capabilities beyond the visual feedback provided by existing remote laboratories. We implemented a lab module that allows users to seamlessly incorporate into their FPGA design. The module minimizes hardware resource utilization while enabling the acquisition of a large number of data samples from the signal during the experiments by adaptively compressing the signal prior to data transmission. The results demonstrate an average compression ratio of 2.90 across three benchmark signals, indicating efficient signal acquisition and effective debugging and analysis. This method allows users to acquire more data samples than conventional methods. The proposed lab allows students to remotely test and debug their designs, bridging the gap between theory and practice in embedded system design.
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
Efficiently identifying and resolving code smells enhances software project quality. This paper presents a novel solution, utilizing automated machine learning (AutoML) techniques, to detect code smells and apply move method refactoring. By evaluating code metrics before and after refactoring, we assessed its impact on coupling, complexity, and cohesion. Key contributions of this research include a unique dataset for code smell classification and the development of models using AutoGluon for optimal performance. Furthermore, the study identifies the top 20 influential features in classifying feature envy, a well-known code smell, stemming from excessive reliance on external classes. We also explored how move method refactoring addresses feature envy, revealing reduced coupling and complexity, and improved cohesion, ultimately enhancing code quality. In summary, this research offers an empirical, data-driven approach, integrating AutoML and move method refactoring to optimize software project quality. Insights gained shed light on the benefits of refactoring on code quality and the significance of specific features in detecting feature envy. Future research can expand to explore additional refactoring techniques and a broader range of code metrics, advancing software engineering practices and standards.
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
Rapidly and remotely monitoring and receiving the solar cell systems status parameters, solar irradiance, temperature, and humidity, are critical issues in enhancement their efficiency. Hence, in the present article an improved smart prototype of internet of things (IoT) technique based on embedded system through NodeMCU ESP8266 (ESP-12E) was carried out experimentally. Three different regions at Egypt; Luxor, Cairo, and El-Beheira cities were chosen to study their solar irradiance profile, temperature, and humidity by the proposed IoT system. The monitoring data of solar irradiance, temperature, and humidity were live visualized directly by Ubidots through hypertext transfer protocol (HTTP) protocol. The measured solar power radiation in Luxor, Cairo, and El-Beheira ranged between 216-1000, 245-958, and 187-692 W/m 2 respectively during the solar day. The accuracy and rapidity of obtaining monitoring results using the proposed IoT system made it a strong candidate for application in monitoring solar cell systems. On the other hand, the obtained solar power radiation results of the three considered regions strongly candidate Luxor and Cairo as suitable places to build up a solar cells system station rather than El-Beheira.
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
Over the past few years, the internet of things (IoT) has advanced to connect billions of smart devices to improve quality of life. However, anomalies or malicious intrusions pose several security loopholes, leading to performance degradation and threat to data security in IoT operations. Thereby, IoT security systems must keep an eye on and restrict unwanted events from occurring in the IoT network. Recently, various technical solutions based on machine learning (ML) models have been derived towards identifying and restricting unwanted events in IoT. However, most ML-based approaches are prone to miss-classification due to inappropriate feature selection. Additionally, most ML approaches applied to intrusion detection and prevention consider supervised learning, which requires a large amount of labeled data to be trained. Consequently, such complex datasets are impossible to source in a large network like IoT. To address this problem, this proposed study introduces an efficient learning mechanism to strengthen the IoT security aspects. The proposed algorithm incorporates supervised and unsupervised approaches to improve the learning models for intrusion detection and mitigation. Compared with the related works, the experimental outcome shows that the model performs well in a benchmark dataset. It accomplishes an improved detection accuracy of approximately 99.21%.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
ACEP Magazine edition 4th launched on 05.06.2024Rahul
This document provides information about the third edition of the magazine "Sthapatya" published by the Association of Civil Engineers (Practicing) Aurangabad. It includes messages from current and past presidents of ACEP, memories and photos from past ACEP events, information on life time achievement awards given by ACEP, and a technical article on concrete maintenance, repairs and strengthening. The document highlights activities of ACEP and provides a technical educational article for members.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapte...University of Maribor
Slides from talk presenting:
Aleš Zamuda: Presentation of IEEE Slovenia CIS (Computational Intelligence Society) Chapter and Networking.
Presentation at IcETRAN 2024 session:
"Inter-Society Networking Panel GRSS/MTT-S/CIS
Panel Session: Promoting Connection and Cooperation"
IEEE Slovenia GRSS
IEEE Serbia and Montenegro MTT-S
IEEE Slovenia CIS
11TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONIC AND COMPUTING ENGINEERING
3-6 June 2024, Niš, Serbia
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
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d. Switching-off disabled: normally switched-on circuit breaker unable to switch-off upon demand;
e. Switching-on disabled: normally switched-off circuit breaker unable to switch-on upon demand;
f. Maintenance: a planned activity aiming at improving the condition of a component. It can be postponed if
required by switchgear conditions.
Generator adequacy assessment is a part of dependability evaluation (reliability, availability,
maintainability, and safety) [6]. The analysis is performed for the events of the first level of coincidence
which is a forced failure or switching-off of one component. The paper deals with the generator adequacy
assessment connected on a substation using a computer software. The load in a substation is modelled with a
load duration curve which is then modelled with different load states considered in the generator assessment
analysis using Monte Carlo simulation [7-8]. The paper includes the generator assessment analysis using a
sequential Monte Carlo simulation module in DIgSILENT Power factory software [9].
2. MARKOV STATE SPACE MODEL FOR BUSBARS AND TRANSFORMERS WITHIN THE
SWITCHGEAR
Busbars and transformers, as renewable components, with regard to reliability of supply, can have
two different states – they are either available or unavailable. A two-states component model is the most
oftenly used model since it gives the best description of the continuous operation of a component. It is
presented in Figure 1.
Figure 1. Model of a component with two states
Symbols:
1 - operation state of a component;
2 - component in a failure state;
- component failure intensity;
- component repair intensity.
Probability of being in a state 1 and 2 is:
1P
2P (1)
Frequency of being in a state 1 and 2 is defined as follows:
11 Pf
22 Pf (2)
3. MODEL OF A SYSTEM WITH TWO COMPONENTS
The model presented in Figure 2 shows the state of two different components - each component can
be either ready to operate or not ready to operate (a coincidence of a transformer and busbar failure).
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Figure 2. Model of two components with four states
This model is applied during the analysis of switchgear failures for transformer and busbar failure
coincidence. The basic premise of all considerations is that the possibility that two or more events take place
simultaneously is ruled out. Consequently, the possibilities of direct transitions between states 1 and 4, i.e. 2
and 3 within the model are ruled out.
Symbols:
A - first component; B – second component;
1 – components A and B in operation;
2 – component A faulty and B in operation;
3 – component A working and B faulty;
4 - components A and B faulty;
1and 1 - failure and repair intensity of component A;
2 and 2 - failure and repair intensity of component B.
Stationary system solutions, i.e. stationary probabilities of the states are:
))(())(())(())(( 2211
21
4
2211
21
3
2211
21
2
2211
21
1
PPPP (3)
Since it had been shown earlier that the expressions:
NA ; present stationary availability, that is,
unavailability of one component, the stationary probabilities of the states in the case of two-components
system can be expressed as follows:
214213212211 ;;; NNPNAPANPAAP (4)
According to the model of a system with two different components, the frequency of an individual
state can be determined either as a product of the state probability and the sum of intensity of abandoning that
identical state, or as a product of the sum of intensity of entering the state and the probability of a state that is
being abandoned. Frequencies are equal regardless of being observed from a perspective of exits or from a
perspective of entrances. According to that, frequencies of states are as follows:
122121212144
122121212133
122121212122
122121212111
)()(
)()(
)()(
)()(
NfNfNNPf
AfNfNAPf
NfAfANPf
AfAfAAPf
(5)
4. MODEL OF COMPONENT WITH MAINTENANCE
Switchgear components count as renewable components and their maintenance (planned repair) is
carried out periodically. Maintenance of switchgear components increases their reliability and availability
AB
1
AB
2
1
AB
3
AB
4
1
2
2 2 2
1
2
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because the tendency of growth of failure intensity function is being reduced and maintained at a sufficiently
low constant value. Figure 3 shows the Markov state space model of a component with maintenance. It is
presumed that the planned repair of a component will not be performed when a component is not functional,
and upon finishing the repair, a component is again ready for the operation.
Figure 3. Model of component with maintenance
Symbols:
1- component in operation;
2- component A blocked;
3- component A under repair;
R and R - intensity of repair and repair completion of component A;
K and K - intensity of malfunction and repair of component A.
Stationary system solutions, i.e. stationary probabilities of the states are:
KRRKRK
KR
KRRKRK
RK
KRRKRK
RK
PPP
321 (6)
Based on the earlier considerations, it follows that state “1“denotes component availability, state “2”
denotes a failure-induced component unavailability, and state “3” component unavailability due to repair:
RK NPNPAP 321 ;; (7)
Frequencies of failure and repair states are:
KRRKRK
KRR
rR
KRRKRK
RKK
KK
PPf
PPf
313
212
(8)
5. FAILURE COINCIDENCE MODEL WITH PLANNED MAINTENANCE
Preventive maintenance is conducted in order to keep the frequency of component failures at the
lowest possible level. However, when these coincide with failures of other components in the system, the
number of system failures may be increased. Thus, if possible, preventive maintenance and repairs should be
conducted when they would not have negative effects on the system. It is generally considered that once the
repair has been initiated, it has to be finished. Figure 4 shows a case of failure coincidence with the planned
maintenance. If the possibility of a transition from state “3” into state “4” is removed, then the request that
the repair cannot be initiated in state “3” is accepted, i.e. during the failure state of the other component.
However, if state “4” does not represent the system failure state, that transition is allowed and the failure and
repair processes are independent. The probabilities of being in certain states in case the transition from state
A
1
A
2
AR
3
R
R
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“3” into state “4” is allowed, since state “4” does not represent the system failure state are as follows:
))((
;
))((
))((
;
))((
43
21
BKBKARAR
BKAR
BKBKARAR
ARBK
BKBKARAR
BKAR
BKBKARAR
BKAR
PP
PP
(9)
Figure 4. Failure coincidence model of the planned maintenance and repair with failure
Symbols:
1 - components A and B in operation;
2 - component A in repair and B in operation;
3 - component A in operation and B in failure;
4 - component A in repair and B in failure;
AR - component A repair intensity;
AR - component A repair intensity;
BK - component B failure intensity;
BK - component B repair intensity;
R - component repair intensity.
However, if state “4” also means system failure, the transition from state “3” into state “4” is not
allowed, which means that the frequency of repair of the first component in the third and fourth system
equation has a zero value ( ). In that case, the values are:
(10)
AR
*
0
BKARBKARBKARARBKBK
BKBKAR
BKARBKARBKARARBKBK
BKARBKARARBK
BKARBKARBKARARBKBK
BKARBKAR
BKARBKARBKARARBKBK
BKARBKBKAR
P
P
P
P
)()(
)()(
)(
)()(
)(
)()(
)(
4
3
2
1
AB
1
ARB
2
AR
AB
3
ARB
4
AR
AR
BK BK BK
AR
BK
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Since the most common frequencies of the component repair and maintenance are significantly
higher than the respective frequencies of entering into those states, i.e. the multiple products of very small
values can be disregarded, the near solution values (10) are:
(11)
The frequency of the system failure, (failure and repair coincidence state) which also means the failure of the
system, is:
(12)
The mean time of failure coincidence with the planned maintenance and repair is:
(13)
6. GENERATOR MODEL WITH A DERATED STATE
Figure 5 shows the model of the component with the derated state (reduced capacity). It is assumed
that the transition of the component to the derated state from the forced outage is not allowed because it is
believed that during its stay in the forced outage, the repair is performed and that component is ready for the
operation with the rated capacity.
Figure 5. Generator model with one derated state
Symbols:
1 component A in operation;
2 component Ader1
in operation with the derated state;
3 component A in failure;
component A intensity of the derated state;
1der component A intensity of departure from the derated state;
component A failure rate;
component A repair rate:
The probabilities of being in a certain state are:
111
1
1
derderder
der
P
111
1
2
derderder
der
P
,
1
3
1 1 1
derP
der der der
(14)
)(
;;;1 4321
BKARAR
BKAR
BK
BK
AR
AR
PPPP
AR
BKAR
BKAR
BKARAR
BKAR
BKARPf
)(
)(
)(44
BKAR
k
f
P
T
1
4
4
der1
der1
der1
1der
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735
The frequencies of generator states are:
111
11
312111
)(
)(
derderder
derder
derder PPPf
(15)
111
11
12112
derderder
derder
derder PPf
(16)
111
1
313
derderder
der
PPf
(17)
The mean time of generators states:
11
1
1
1
derf
P
T ,
12
2
2
1
derf
P
T
,
1
3
3
3
f
P
T (18)
7. DESCRIPTION OF A HYDRO POWER PLANT SUBSTATION
7.1. Basic Characteristics of the Previous Switchgear
It is placed at the level of 183,5 m in the narrow area between the engine room facility and building
entrance at the end of diversion channel [12]. The switchgear is in “H“ scheme with five feeders, two block
transformer feeders, each equipped with a circuit breaker, disconnectors, current measuring transformers and
surge arresters, two outgoing feeders equipped with outgoing disconnectors only, section feeder with a
diagonally placed disconnector for the connection between blocks, i.e. transmission lines. It is dimensioned
for short circuit power of 3500 MVA. The switchgear is connected to the Nedeljanec substation by 110 kV
double transmission line (Al/Fe 240/40 mm2
). Considering that outgoing feeders do not have circuit breakers
installed, distance protection in a hydro power plant works at the switching off of the circuit breaker in a
block transformer feeder and the circuit breaker in the outgoing feeder of Nedeljanec substation which in this
way represents distant busbars of this switchgear. Switchgear equipment is nearly 30 years old, except for the
new SF6 circuit breakers produced by “ABB” and installed four years ago in a place of the old pneumatic
circuit breakers 3P 123 type, produced by “Končar d.d“. The whole equipment is installed on the iron stands
made from steel pipes and profile, coated with anticorrosive paint, fixed to a concrete base with anchor bolts.
The connection of the devices is done by wires (Al/Fe 240/40 mm2
), i.e. AlMg 70 mm pipes. A busbar
system is carried out by wires attached above the devices by using double tension insulator strings with seven
glass insulators, type U 160 BS, on each of them. Busbars are attached to “T” portals made from welded iron
profiles. The classical 110 kV switchgear is designed for the outdoor use and shown in Figure 6.
Figure 6. Existing classical 110 kV switchgear
The 110 kV transmission line connections from Nedeljanec substation is carried out by the
attachment to the southern busbar portal. Block transformers with transmission ratio of 10,5/121 kV, vector
group Yd5, power 2×50 MVA, are placed at the level of 176 m, between the engine room facility and the
dam. They are connected to generator terminals by copper profile busbars. Although rationally placed in
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relation to the generator, due to an inadequately constructed oil pit, they are an ecological threat for the
environment in case of disasters since there is a possibility of transformer oil spill into the Drava river. Also,
in case of failure of a transformer with a tank crack, there is a possibility of flaming oil spreading onto the
generator and other equipment. The analysis of the outage caused by failures at the hydro electrical power
plant in the period from 2009 to 2013 shows the loss of supply of approximately 5 TWh of electrical energy,
out of which 82% are block transformer failures due to lightning strikes. Considering the age of the
equipment (about 30 years old), which is near the end of its life span, the stated manipulative possibilities and
operating conditions of the network, as well as the work safety at the hydro electrical power plant which
generates 100 MVA of electrical power, it is evident that it is necessary to reconstruct and modernize 110 kV
switchgear by replacing the old equipment and expanding the switchgear to a scheme that would enable
flexible manipulation without operation interruptions. Figure 7 shows single line scheme of the present
classical and the new HIS switchgear
Figure 7. Single line scheme of the present classical and the new HIS switchgear
7.2. Description of the new SF6 High Integrated Switchgear
The new metal enclosed SF6 gas insulated switchgear, high integrated for the outdoor installation
(HIS) at the new location will be installed on the concrete laminated foundation. The switchgear will be
constructed for the outdoor installation along with the appropriate treatment of the external surfaces, which
enables the installation in open spaces exposed to the atmospheric conditions and solar radiation. The
switchgear constructed in the “H” scheme form will consist of three-poled enclosed busbars, two busbar
measuring feeders, one section/coupling feeder, two transformer feeders and two outgoing feeders. The
switchgear will be connected to the network and transformers by the overhead connectors Al 300 mm2
. A
block transformer is connected to the current measuring transformers by means of Cu pipes 32 × 2 mm.
The designed switchgear satisfies the following minimum demands - modular performance of manufacture
completed mounting groups with the possibility of subsequent extension by means of upgrade by additional
fields, sections, busbars, circuit breakers, disconnectors and other components without unnecessary
dismounting of the equipment's main parts. The switchgear should secure the highest possible security for the
workers and others around the switchgear surrounding area under normal operating conditions and during
failures (short circuit). In accordance with the conditions at the installation location, the switchgear will be
sized for the insulation degree 123 Si 230/550 and will have the following rated values and technical
characteristics shown in Table 1. Figure 9 presents the 110 kV SIEMENS SF6 switchgear.
Figure 9. SIEMENS HIS SF6 switchgear
110 KV-S1
110
k
V
110 KV S2
110
k
V
10 KV HIS1
10
kV
10 KV HIS2
10
kV
110 KV NED S2 110
k
V
10 KV S1
10
kV
BUS-10 KV S2
10
kV
HE VARARZDIN A HE VARARZDIN B
10 KV S A
10
kV
10 KV S B
10
kV
HE VARARZDIN A1
CABLE_A
HE VARARZDIN B1
CABLE_B
TRAFO-A TRAFO - B
HE-NEDELJANEC 1 HE-NEDELJANEC 2
110 KV NED S1
110
k
V
110 KV S1 HIS
110
k
V
110 KV S2 HIS
110
k
V
TRAFO-A1 TRAFO-B1
110 KV NED S2_A
110
k
V
110 KV NED S1_A
110
k
V
HE-NEDELJANEC 11 HE-NEDELJANEC 21
NEDELJANEC 1 NEDELJANEC 2
HIS
SUBSTATION
CLASSICAL
SUBSTATION
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737
Table 1. Technical characteristics of new HIS switchgear
Rated voltage 110 kV
Network maximum voltage 123 kV
Rated frequency 50 Hz
Rated withstand voltage of 50 Hz 1 min:
between phases and toward ground
275 kV
110 kV neutral point earthing Direct earthing
Rated withstand surge voltage of 1,2/50s:
between phases and toward ground
between opened circuit breaker contacts
between opened disconnector contacts
550 kV
550 kV
650 kV
Rated permanent current at 40°C:
busbars
outgoing and transformer feeders
2500 A
1250 A
Rated short term withstand current 1 s 40 kA
8. RESULTS OF THE GENERATOR ADEQUACY SIMULATION
The simulation was performed in the program package of DIgSILENT with the power flow
calculation [12] for the period of 1 year. The load on the 110 kV side of the power transmission line
Nedeljanec is displayed by the annual curve of duration presented in Figure 10. Also, 110 kV busbar outages
were considered within the load Nedeljanec.
Figure 10. The curve of load duration Nedeljanec
The input data for HIS was used from [12], and for the existing switchgear from the statistics of the
plant events HOPS from [13]. The input data for generators in the hydro power plant are given in Table 2.
After the generator assessment analysis is performed using Monte Carlo simulation for 100 000 runs, the
generator adequacy indices are shown in Figure 11.
Figure 11. Total available capacity, available dispatch capacity, grid total demand and total reserve
generation
10. IJECE ISSN: 2088-8708
Generator Assessment of Hydro Power Station Adequacy after Reconstruction from … (Srete Nikolovski)
738
Table 2. Input data for generators
Year Working state
(h)
Derated state
(h)
Maintenance
(h)
Failure state
(h)
Sum of hours
(h)
2010 5535 2418 793 14 8760
2011 5884 2024 850 2 8760
2012 5834 1980 946 0 8760
2013 6490 1481 651 138 8760
Average 6030,8 1823,6 862,8 42,8 8760
Figure 12 shows monte Carlo simulation process for Classical switchgear, minimal, average and
maximum values of LOLP and EDNS indices
Figure 12. Monte Carlo simulation process for Classical switchgear, minimal, average and maximum
values of LOLP and EDNS indices
In Tables 4 and 5, results for Monte Carlo simulations of generator adequacy indices for both cases,
classical and HIS switchgear are presented.
Table 4. HIS switchgear generator adequacy indices
Loss of Load Probability Expected Demand Not Supplied
Average(LOLP)
(%)
Confidence Levels
Lower Upper
Average (EDNS)
(MW)
Confidence Levels
0.21700 0.19279 0.24121 | 0.011 0.010 0.012
Table 5. Classical switchgear generator adequacy indices
Loss of Load Probability Expected Demand Not Supplied
Average (LOLP)
(%)
Confidence Levels
Lower Upper
Average (EDNS)
(MW)
Confidence Levels
0.27300 0.24586 0.30014 0.015 0.013 0.016
The difference in adequacy indices of the new SF6 gas insulated High Integrated Switchgear in
relation to the standard existing switchgear for the outdoor usage is obvious. This can only be one of the
advantages and additional criteria for choosing the HIS and justifying the reconstruction.
1.000E+58.000E+46.000E+44.000E+42.000E+41.000E+0 [-]
12.00
8.00
4.00
0.00
-4.00
-8.00
Summary Grid: Loss of Load Probability (Unconstrained), Average in %
Summary Grid: Loss of Load Probability (Unconstrained), Lower confidence limit in %
Summary Grid: Loss of Load Probability (Unconstrained), Upper confidence limit in %
1.000E+58.000E+46.000E+44.000E+42.000E+41.000E+0 [-]
0.08
0.06
0.04
0.02
-0.00
-0.02
Summary Grid: Demand Not Supplied (Unconstrained), Average in MW
Summary Grid: Demand Not Supplied (Unconstrained), Lower confidence limit in MW
Summary Grid: Demand Not Supplied (Unconstrained), Upper confidence limit in MW
Convergence Date: 10/15/2016
Annex: /1
DIgSILENT
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739
9. CONCLUSION
This paper presents the generator adequacy assessment connected to 110 kV/10 kV switchgear in
the hydro power plant, particularly of the present switchgear for the outdoor use, as well as the new SF6 HIS-
High Integrated Switchgear. Markov space-state method was used, together with the generator assessment
Monte Carlo simulation using DIgSILENT software. Monte Carlo generator assessment is also performed in
consideration to the generator three states model (in work, derated state and in outage). All outage data are
taken from the statistics of the plant events for the four years period of time, form 2009 to 2013 year, from
HEP d.d.. The information on the equipment and switchgear elements outages has been statisticaly processed.
For the new switchgear in the “H” scheme, which was conducted in the HIS SF6 technology, outage data are
taken from the relevant literature statistics. All relevant adequacy generator assessment indices of the
switchgear have been computed. The generator adequacy indices of the HIS are far better than the standard
switchgear for the outdoor use, which of course, aside from other advantages, can be crucial in transition to
the High Integrated Switchgears.
REFERENCES
[1] D. Koval, A. Chowdhury, Assessment of Transmission-Line Common-Mode, Station-Originated, and Fault-Type
Forced-Outage Rates, IEEE Transactions on Industry application, Vol. 46, No. 1. Nov. 2001.
[2] R. Billinton, T.K.P. Medicherla, Station Originated Multiple Outages in the Reliability Analysis of a Composite
Generation and Transmission System, IEEE Transaction on PAS, Vol. 100. No.8. Oct. 1981.
[3] R. Billinton, P.K. Vohra, S. Kumar, Effect of Station originated outages in a composite system adequacy evaluation
of The IEEE Reliability test system, IEEE Transaction on PAS, Vol. 104. No.10. Oct. 1985.
[4] R. Billinton, R.N. Allan “Reliability Evaluation of Power Systems”, 2nd Edition, Publisher Plenum Press, New
York, USA, 1996.
[5] R. Billinton, W. Li, Reliability assessment of electric power systems using Monte Carlo methods, Publisher,
Plenum Press, New York and London, 1994.
[6] M. B. Hamouda, M. N. Lakhoua, L. El Amraoui, Dependability Evaluation and Supervision in Thermal Power
Plants, International Journal of Electrical and Computer Engineering (IJECE), Vol. 5, No 5. Oct. 2015.
[7] J. Nahman, Modeling simultaneous outages for Bulk-power system reliability analysis, IEEE Trans on Reliability,
Vol. R-34, No. 5. Nov. 1985.
[8] J. Nahman, M. Grahovac, Load modeling for generating capacity reliability evaluation using frequency and
duration method, IEE Proceeding-C, Vol. 139, No. 6, Nov. 1992.
[9] DIgSILENT PowerFactory 15, User Manual, Gomaringen 2014.
[10] SIEMENS i EXOR “Electrical project of reconstruction of substation 110 kV i 35 kV in HE”, 2005.
[11] T.M. Chan, F. Heil, D. Kopejkova “Report on the second international survey on high voltage gas isolated
substation service experience”, CIGRE, Paris, WG, 1998K. Karsai, D. Kerenyi, L. Kiss „Large Power
Transformers“, Oxford 1987.
[12] Croatian Transmission System Operator, HOPS d.o.o Zagreb “Operational Events Statistics for 2013”, Zagreb,
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and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-3, Issue-7, Dec. 2013.
BIOGRAPHIES OF AUTHORS
Srete Nikolovski, PhD.MSc.El.Eng. (IEEE M’1995, SM’2005) was born in Belgrade on
October 1, 1954. He obtained his BSc degree (1978) and MSc degree (1989), in electrical
engineering at the Faculty of Electrical Engineering, University of Belgrade and his PhD degree
from the Faculty of Electrical and Computing, University of Zagreb, Croatia in 1993. He is
currently a Full Professor at the Department of Power Engineering at the Faculty of Electrical
Engineering, Computer Science and Information Technology, J. J. Strossmayer University of
Osijek, Croatia. His main interests are power system protection, power system analysis and
reliability. He has published 200 technical papers in international journals and proceedings. He is
a Senior Member of IEEE Reliability Society, PES Society and the Croatian CIGRE.
Goran Slipac, PhD.El.Eng, was born in Travnik, on February 25 1960. He obtained his diploma
degree in 1983 in field of Electrical Power Engineering from the Faculty of Electrical
Engineering and Computing, University of Zagreb and a master degree in the field of on the
same Faculty. During 1994-2001 he attended training courses in Argonne, USA, in the field of
Generation Expansion Planning and Energy Demand Analysis. He was a Manager of Corporate
Development Department in HEP Inc. (Croatian Electricity Utility) and a Director of HEP
Renewables company. He is currently employed as an Advisor of HEP Inc. Management Board.
He is the former chairman of the Study Committee C1 Croatian CIGRE. His main interests are
power system analysis and generation expansion planning.
12. IJECE ISSN: 2088-8708
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740
Emir Alibašić, Dipl.El.Ing., was born in Tuzla on March 12, 1982. He obtained his BCs degree
(2007) in Tuzla in field of Electrical engineering at the Faculty of Electrical Engineering,
University of Tuzla. Currently he is a PhD student at Faculty of Electrical Engineering, J.J.
Strossmayer University of Osijek, Croatia. His main interests are power transmission lines and
optimization of electrical energy transmission. He wass employed at UMEL-
DALEKOVODMONTAZA Tuzla on the position of design and maintenance of objects up to
400 kV and currently is owner INFORM Agency for the development of software applications.
Currently he works as ITC manager at ZZO TK.