This document presents a transient stability analysis of a power system modelled in MATLAB/Simulink. It summarizes the modeling of a IEEE nine bus system with three generators in Simulink. Transient stability analysis is performed by applying three-phase faults at different buses and varying the fault clearing time. The results from the Simulink model are found to be more accurate than models simulated in other programs for electromagnetic transients.
Transient stability analysis and enhancement of ieee 9 bus system ecij
System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE- 9 bus test system. The fault is created on different busses and transient stability is analyzedfor different load and generation conditions. The critical clearing time (CCT) is calculated by
using time domain classical extended equal area criterion method. The system frequency and voltage variation is observed for different fault locations and CCT. The IEEE-9 bus test system is simulated and stability is analyzed on ETAP software
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
Transient stability analysis and enhancement of ieee 9 bus system ecij
System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE- 9 bus test system. The fault is created on different busses and transient stability is analyzedfor different load and generation conditions. The critical clearing time (CCT) is calculated by
using time domain classical extended equal area criterion method. The system frequency and voltage variation is observed for different fault locations and CCT. The IEEE-9 bus test system is simulated and stability is analyzed on ETAP software
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
High performance of excitation system for synchronous generator based on mode...journalBEEI
Mathematical description of electromechanical systems operation is powerful parameter to get high performance with practical implement of the systems. This paper describes a mathematical presentation for the behavior excitation system of synchronous generator based on the optimal values of the parameters. The study of the mathematical modeling for dynamics of excitation system required the knowledge for the effect of each parameter to get the typical values provided by the manufacturer implementing. The simulation of the final model which obtained was conducted on Matlab version 2019b. The final results of simulation for the mathematical model are satisfactory, and it proves the ability of independence this model as practical implement.
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
In this paper, the voltage stability of the power system is studied during fault conditions. Enhancement of the system’s stability will be achieved by utilizing Flexible AC transmission systems (FACTS) controllers at the best place in the system. The optimum placement of (FACTS) controllers occurred on the most affected bus by the fault in the system (weakest bus). Two approaches have been used in this study to effectively obtain the best location of the (FACTS) controllers in the system. The first method is based on computing the deviation which occurs in the active power and reactive power due to the fault at each load bus at a time. Whereas the second method is performed through exploiting a MATLAB fuzzy set technique utilizing two indices: Line Flow Index (LFI) and Voltage Profile Index (VPI) during fault and steady-state conditions. The results show that both of these indices resulted in the same bus as the best location. Remedial actions in the attempt at improving in the stability of the power system are discussed taking the advantage of using (FACTS) compensation (SVC) and (STATCOM) at the most vulnerable system buses. In this work, MATLAB program with an IEEE 24 bus system is examined.
Load Flow Based Voltage Stability Indices for Voltage Stability and Contingen...TELKOMNIKA JOURNAL
Electrical power system is growing rapidly with the current increasing demand. One of many
important issues being faced in power system is the voltage instability. With that being said, this work
investigates the voltage stability indices with contingency analysis used in order to determine the voltage
stability of the network system. These approaches are used to detect and avoid voltage instability in the
distribution network. The behavior of the distribution network is determined based on the contingency
analysis. STATCOM is injected into selected buses in the distribution network of the system to determine
the system’s stability during the contingency condition. Distributed generation (DG) is utilized to enhance
the network stability. Different scenarios have been assumed in order to test the proposed technique under
different conditions. The work has been implemented in Digsilent power factory environment. The
proposed technique has been tested on IEEE 30 bus system. Promising results have been obtained with
respect to previous published literature, in term of identifying the weak buses and enhancing the overall
stability of the network.
This paper introduces experimental comparison study between six and four switch inverter fed three phase induction motor drive system. The control strategy of the drive is based on speed sensoreless vector control using model reference adaptive system as a speed estimator. The adaptive mechanism of speed control loop depends on fuzzy logic control. Four switch inverter conFigureurations reduces the cost of the inverter, the switching losses, the complexity of the control algorithms, interface circuits, the computation of real-time implementation, volume-compactness and reliability of the drive system. The robustness of the proposed model reference adaptive system based on four switch three-phase inverter (FSTPI) fed induction motor drive is verified experimentally at different operating conditions. Experimental work is carried using digital signal processor (DSP1103) for a 1.1 kW motor. A performance comparison of the proposed FSTP inverter fed IM drive with a conventional six switch three-phase inverter (SSTP) inverter system is also made in terms of speed response. The results show that the proposed drive system provides a fast speed response and good disturbance rejection capability. The proposed FSTP inverter fed IM drive is found quite acceptable considering its performance, cost reduction and other advantages features.
Nowadays, A lot of industry requires Multi Motor System (MMS) applications such as propulsion and traction power, HEV, conveyer and air-conditioner. The Conventional arrangement for MMS usually done by cascading the motors drives which each drives has individual inverter. Part of MMS, Dual-Motor drives fed by a single inverter is being paid attention by the researchers. Dual-motor drives using a single three-leg inverter has its limitation in the case of different operating conditions and independent speed control requirement. Therefore, dual-Motor drives using a single Five-leg Inverter (FLI) was proposed for independent control for both motors. In PMSM drives, the information of the feedback speed and rotor angular position is compulsory for variable speed drives. Conventional solution is by using speed sensor which will increase size, cost, extra hardwire and feedback devices, especially for the case of dual-PMSM drives. The best solution to overcome this problem is by eliminating the usage of speed and position sensors for Dual-motor drives. This paper presents a new sensorless strategy using speed and position estimator for Independent Dual- Permanent Magnet Synchronous Machine (PMSM) drives which utilize Five-Leg Inverter (FLI). The proposed strategy is simulated using MATLAB/Simulink to evaluate the overall motor drive performance. Meanwhile the experimental set-up is connected to dSPACE 1103 Board. The experimental results demonstrate that the proposed estimator is successfully managed to control the Dual-PMSM drives for variation of speed and for different direction applications.
Advance Current Monitoring Techniques to Detect and Diagnosis the Inter-Turn ...theijes
This paper presents the results of stator inter-turn fault detection and diagnosis in three phase induction motor using different types of current monitoring techniques such as: motor current signature analysis (MCSA), Current Concordia Vector, extend park vector approach (EPVA). Where the use of several signal processing techniques for extracting more information about the fault, will help us knowing the characteristics of each method in order to choose the best way to diagnose this type of machine fault. The tests show that the EPVA technique can diagnose the inter-turn fault with high accuracy compared with the other techniques. Because there is a similarity between the inter-turn frequency component and other machine faults frequency components (mixed air gap eccentricity, unbalance supply voltage) resulting a wrong discussion about the machine condition.
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
The aim of this paper is to prove that fuzzy logic algorithm is a suitable control technique for fast processes such as electrical machines. This theory has been experimented on different kinds of electrical machines such as stepping motors, dc motors and induction machines (with 6 phases) and the experimental results show that the proposed fuzzy logic algorithm is the most suitable control technique for electrical machines since this algorithm is not time consuming and it is also robust between plant parameters variations.
Fuzzy-Logic-Controller-Based Fault Isolation in PWM VSI for Vector Controlled...iosrjce
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Speed and Torque Control of Mechanically Coupled Permanent Magnet Direct Curr...IDES Editor
A new controller is designed for speed and torque
control of a Permanent Magnet DC motor based on
measurements of speed and current. This research work
focuses on investigating the effects of control of the speed and
torque of two brushless dc motors that are mechanically
coupled. Two controller design methods: the Root Locus
method and Bode Plot method as well as two controllers:
Proportional-Integral-Derivative (PID) and Proportional-
Integral (PI) are used to obtain the control objectives of speed
control and torque control. The simulation is performed using
MATLAB/SIMULINK software. The effects of varying the
controller gains on the system performance is studied and
quantified. The simulation results show that the speed control
objectives of the motor are satisfied even in the case of torque
disturbance from the other motor.
Compound Control of Electromagnetic Linear Actuator Based on Fuzzy SwitchingTELKOMNIKA JOURNAL
Due to the motion control system of electromagnetic linear actuator (EMLA) is a nonlinear system
with poor controllability; single control strategy has been difficult to meet the requirements of its control. A
compound control strategy based on inverse system control (ISC) and proportional-integral (PI) is
designed in this paper. Switching between two algorithms, which is based on the fuzzy rules, prevents the
control algorithm to jitter and jump. System model is built under Matlab/Simulink to do simulation analysis.
The designed controller is integrated into the system simulation model and the system software of digital
signal processor (DSP) controller. Simulation and test results show that the compound control strategy
using fuzzy switching rules achieves the smooth transition of two control algorithms, and the goal of any
position location, and continuous adjustment in 0~4mm lift. Positioning accuracy is up to ± 0.02mm, while
the response time is less than 10ms.
The main objective of the present work is to describe the sensorless control of interior permanent magnet synchronous motor (IPMSM) for embeded systems in traction applications using the Model Reference Adaptive System (MRAS) method for speed estimation. The algorithm of this method has been adapted with the mathematical model of the motorized wheels electric vehicle. The command used is the DTC. Sensorless DTC of IPMS in-wheel motor based on MRAS for electric vehicle is simulated by Matlab/Simulink. The simulation results show the effectiveness of this proposed sensorless DTC control used for embedded system applications.
Effects of Different Parameters on Power System Transient Stability StudiesPower System Operation
The transient stability studies plays a vital role in
providing secured operating configurations in power systems.
This paper shows an analysis of the effects of various parameters
on the transient stability studies of power system. The various
parameters for which the analysis is presented include the Fault
Clearing Time (FCT), Fault location, load increasing, machine
damping coefficient D, and Generator Armature Resistance
GAR. Under the condition that the power system is subjected to a
three-phase short-circuit fault, the Critical Clearing Time (CCT)
is calculated using numerical integration method. The analysis
has been carried out on the IEEE 30-bus test system. From this
analysis, we can conclude the importance of these different
parameters on power system transient stability studies.
Comparison of Multi-Machine Transient Stability Limit Using UPFCIJMTST Journal
The stability of an interconnected power system is compare to normal or stable operation after having been
subjected to some form of disturbance. With interconnected systems continually growing in size and extending
over vast geographical regions, it is becoming increasingly more difficult to maintain synchronism between
various parts of the power system. This paper investigates the comparison of transient stabil ity limit of a
multi-machine power system wi th the help of a UPFC operated in perpendicular vol tage control
mo d e an d t h e i r i t ’ s c omp ar i s o n .
Transient Stability Assessment and Enhancement in Power SystemIJMER
Power system is subjected to sudden changes in load levels. Stability is an important concept
which determines the stable operation of power system. For the improvement of transient stability the
general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer
reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization
of existing transmission resources. The critical clearing time is a measure to assess transient instability.
Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most
critical faults were identified using this calculation. The CCT for the critical faults were found to change
with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to
study the training effects of ANN. TCSC is selected as the FACTS device for transient stability
enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using
the objective function real power loss minimization. The result shows that the technique effectively
increases the transient stability of the system
TRANSIENT STABILITY ANALYSIS AND ENHANCEMENT OF IEEE- 9 BUS SYSTEM ecij
System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE- 9 bus test system. The fault is created on different busses and transient stability is analyzedfor different load and generation conditions. The critical clearing time (CCT) is calculated by using time domain classical extended equal area criterion method. The system frequency and voltage variation is observed for different fault locations and CCT. The IEEE-9 bus test system is simulated and stability is analyzed on ETAP software.
High performance of excitation system for synchronous generator based on mode...journalBEEI
Mathematical description of electromechanical systems operation is powerful parameter to get high performance with practical implement of the systems. This paper describes a mathematical presentation for the behavior excitation system of synchronous generator based on the optimal values of the parameters. The study of the mathematical modeling for dynamics of excitation system required the knowledge for the effect of each parameter to get the typical values provided by the manufacturer implementing. The simulation of the final model which obtained was conducted on Matlab version 2019b. The final results of simulation for the mathematical model are satisfactory, and it proves the ability of independence this model as practical implement.
Multi-Machine Stability Using Dynamic Inversion Technique IJECEIAES
Stability studies of multi machine system are a major concern to power system engineers due to the increasing complexity involved. This paper deals with the application of a nonlinear technique called Dynamic Inversion, to TCSC for the improvement of stability of multi-machine system. The transient stability studies for various cases: without any controller, with 75% line compensation and with Dynamic Inversion technique, are compared. The critical clearing time as well as the maximum loading ability is also discussed. The result for the nonlinear controller is found to be better than all the other cases.
In this paper, the voltage stability of the power system is studied during fault conditions. Enhancement of the system’s stability will be achieved by utilizing Flexible AC transmission systems (FACTS) controllers at the best place in the system. The optimum placement of (FACTS) controllers occurred on the most affected bus by the fault in the system (weakest bus). Two approaches have been used in this study to effectively obtain the best location of the (FACTS) controllers in the system. The first method is based on computing the deviation which occurs in the active power and reactive power due to the fault at each load bus at a time. Whereas the second method is performed through exploiting a MATLAB fuzzy set technique utilizing two indices: Line Flow Index (LFI) and Voltage Profile Index (VPI) during fault and steady-state conditions. The results show that both of these indices resulted in the same bus as the best location. Remedial actions in the attempt at improving in the stability of the power system are discussed taking the advantage of using (FACTS) compensation (SVC) and (STATCOM) at the most vulnerable system buses. In this work, MATLAB program with an IEEE 24 bus system is examined.
Load Flow Based Voltage Stability Indices for Voltage Stability and Contingen...TELKOMNIKA JOURNAL
Electrical power system is growing rapidly with the current increasing demand. One of many
important issues being faced in power system is the voltage instability. With that being said, this work
investigates the voltage stability indices with contingency analysis used in order to determine the voltage
stability of the network system. These approaches are used to detect and avoid voltage instability in the
distribution network. The behavior of the distribution network is determined based on the contingency
analysis. STATCOM is injected into selected buses in the distribution network of the system to determine
the system’s stability during the contingency condition. Distributed generation (DG) is utilized to enhance
the network stability. Different scenarios have been assumed in order to test the proposed technique under
different conditions. The work has been implemented in Digsilent power factory environment. The
proposed technique has been tested on IEEE 30 bus system. Promising results have been obtained with
respect to previous published literature, in term of identifying the weak buses and enhancing the overall
stability of the network.
This paper introduces experimental comparison study between six and four switch inverter fed three phase induction motor drive system. The control strategy of the drive is based on speed sensoreless vector control using model reference adaptive system as a speed estimator. The adaptive mechanism of speed control loop depends on fuzzy logic control. Four switch inverter conFigureurations reduces the cost of the inverter, the switching losses, the complexity of the control algorithms, interface circuits, the computation of real-time implementation, volume-compactness and reliability of the drive system. The robustness of the proposed model reference adaptive system based on four switch three-phase inverter (FSTPI) fed induction motor drive is verified experimentally at different operating conditions. Experimental work is carried using digital signal processor (DSP1103) for a 1.1 kW motor. A performance comparison of the proposed FSTP inverter fed IM drive with a conventional six switch three-phase inverter (SSTP) inverter system is also made in terms of speed response. The results show that the proposed drive system provides a fast speed response and good disturbance rejection capability. The proposed FSTP inverter fed IM drive is found quite acceptable considering its performance, cost reduction and other advantages features.
Nowadays, A lot of industry requires Multi Motor System (MMS) applications such as propulsion and traction power, HEV, conveyer and air-conditioner. The Conventional arrangement for MMS usually done by cascading the motors drives which each drives has individual inverter. Part of MMS, Dual-Motor drives fed by a single inverter is being paid attention by the researchers. Dual-motor drives using a single three-leg inverter has its limitation in the case of different operating conditions and independent speed control requirement. Therefore, dual-Motor drives using a single Five-leg Inverter (FLI) was proposed for independent control for both motors. In PMSM drives, the information of the feedback speed and rotor angular position is compulsory for variable speed drives. Conventional solution is by using speed sensor which will increase size, cost, extra hardwire and feedback devices, especially for the case of dual-PMSM drives. The best solution to overcome this problem is by eliminating the usage of speed and position sensors for Dual-motor drives. This paper presents a new sensorless strategy using speed and position estimator for Independent Dual- Permanent Magnet Synchronous Machine (PMSM) drives which utilize Five-Leg Inverter (FLI). The proposed strategy is simulated using MATLAB/Simulink to evaluate the overall motor drive performance. Meanwhile the experimental set-up is connected to dSPACE 1103 Board. The experimental results demonstrate that the proposed estimator is successfully managed to control the Dual-PMSM drives for variation of speed and for different direction applications.
Advance Current Monitoring Techniques to Detect and Diagnosis the Inter-Turn ...theijes
This paper presents the results of stator inter-turn fault detection and diagnosis in three phase induction motor using different types of current monitoring techniques such as: motor current signature analysis (MCSA), Current Concordia Vector, extend park vector approach (EPVA). Where the use of several signal processing techniques for extracting more information about the fault, will help us knowing the characteristics of each method in order to choose the best way to diagnose this type of machine fault. The tests show that the EPVA technique can diagnose the inter-turn fault with high accuracy compared with the other techniques. Because there is a similarity between the inter-turn frequency component and other machine faults frequency components (mixed air gap eccentricity, unbalance supply voltage) resulting a wrong discussion about the machine condition.
Voltage profile Improvement Using Static Synchronous Compensator STATCOMINFOGAIN PUBLICATION
Static synchronous compensator (STATCOM) is a regulating device used in AC transmission systems as a source or a sink of reactive power. The most widely utilization of the STATCOM is in enhancing the voltage stability of the transmission line. A voltage regulator is a FACTs device used to adjust the voltage disturbance by injecting a controllable voltage into the system. This paper implement Nruro-Fuzzy controller to control the STATCOM to improve the voltage profile of the power network. The controller has been simulated for some kinds of disturbances and the results show improvements in voltage profile of the system. The performance of STATCOM with its controller was very close within 98% of the nominal value of the busbar voltage.
The aim of this paper is to prove that fuzzy logic algorithm is a suitable control technique for fast processes such as electrical machines. This theory has been experimented on different kinds of electrical machines such as stepping motors, dc motors and induction machines (with 6 phases) and the experimental results show that the proposed fuzzy logic algorithm is the most suitable control technique for electrical machines since this algorithm is not time consuming and it is also robust between plant parameters variations.
Fuzzy-Logic-Controller-Based Fault Isolation in PWM VSI for Vector Controlled...iosrjce
IOSR Journal of Electrical and Electronics Engineering(IOSR-JEEE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of electrical and electronics engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in electrical and electronics engineering. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Speed and Torque Control of Mechanically Coupled Permanent Magnet Direct Curr...IDES Editor
A new controller is designed for speed and torque
control of a Permanent Magnet DC motor based on
measurements of speed and current. This research work
focuses on investigating the effects of control of the speed and
torque of two brushless dc motors that are mechanically
coupled. Two controller design methods: the Root Locus
method and Bode Plot method as well as two controllers:
Proportional-Integral-Derivative (PID) and Proportional-
Integral (PI) are used to obtain the control objectives of speed
control and torque control. The simulation is performed using
MATLAB/SIMULINK software. The effects of varying the
controller gains on the system performance is studied and
quantified. The simulation results show that the speed control
objectives of the motor are satisfied even in the case of torque
disturbance from the other motor.
Compound Control of Electromagnetic Linear Actuator Based on Fuzzy SwitchingTELKOMNIKA JOURNAL
Due to the motion control system of electromagnetic linear actuator (EMLA) is a nonlinear system
with poor controllability; single control strategy has been difficult to meet the requirements of its control. A
compound control strategy based on inverse system control (ISC) and proportional-integral (PI) is
designed in this paper. Switching between two algorithms, which is based on the fuzzy rules, prevents the
control algorithm to jitter and jump. System model is built under Matlab/Simulink to do simulation analysis.
The designed controller is integrated into the system simulation model and the system software of digital
signal processor (DSP) controller. Simulation and test results show that the compound control strategy
using fuzzy switching rules achieves the smooth transition of two control algorithms, and the goal of any
position location, and continuous adjustment in 0~4mm lift. Positioning accuracy is up to ± 0.02mm, while
the response time is less than 10ms.
The main objective of the present work is to describe the sensorless control of interior permanent magnet synchronous motor (IPMSM) for embeded systems in traction applications using the Model Reference Adaptive System (MRAS) method for speed estimation. The algorithm of this method has been adapted with the mathematical model of the motorized wheels electric vehicle. The command used is the DTC. Sensorless DTC of IPMS in-wheel motor based on MRAS for electric vehicle is simulated by Matlab/Simulink. The simulation results show the effectiveness of this proposed sensorless DTC control used for embedded system applications.
Effects of Different Parameters on Power System Transient Stability StudiesPower System Operation
The transient stability studies plays a vital role in
providing secured operating configurations in power systems.
This paper shows an analysis of the effects of various parameters
on the transient stability studies of power system. The various
parameters for which the analysis is presented include the Fault
Clearing Time (FCT), Fault location, load increasing, machine
damping coefficient D, and Generator Armature Resistance
GAR. Under the condition that the power system is subjected to a
three-phase short-circuit fault, the Critical Clearing Time (CCT)
is calculated using numerical integration method. The analysis
has been carried out on the IEEE 30-bus test system. From this
analysis, we can conclude the importance of these different
parameters on power system transient stability studies.
Comparison of Multi-Machine Transient Stability Limit Using UPFCIJMTST Journal
The stability of an interconnected power system is compare to normal or stable operation after having been
subjected to some form of disturbance. With interconnected systems continually growing in size and extending
over vast geographical regions, it is becoming increasingly more difficult to maintain synchronism between
various parts of the power system. This paper investigates the comparison of transient stabil ity limit of a
multi-machine power system wi th the help of a UPFC operated in perpendicular vol tage control
mo d e an d t h e i r i t ’ s c omp ar i s o n .
Transient Stability Assessment and Enhancement in Power SystemIJMER
Power system is subjected to sudden changes in load levels. Stability is an important concept
which determines the stable operation of power system. For the improvement of transient stability the
general methods adopted are fast acting exciters, circuit breakers and reduction in system transfer
reactance. The modern trend is to employ FACTS devices in the existing system for effective utilization
of existing transmission resources. The critical clearing time is a measure to assess transient instability.
Using PSAT, the critical clearing time (CCT) corresponding to various faults are calculated. The most
critical faults were identified using this calculation. The CCT for the critical faults were found to change
with change in operating point. The CCT values are predicted using Artificial Neural Network (ANN) to
study the training effects of ANN. TCSC is selected as the FACTS device for transient stability
enhancement. Particle Swarm Optimization method is used to find the optimal position of TCSC using
the objective function real power loss minimization. The result shows that the technique effectively
increases the transient stability of the system
TRANSIENT STABILITY ANALYSIS AND ENHANCEMENT OF IEEE- 9 BUS SYSTEM ecij
System stability study is the important parameter of economic, reliable and secure power system planning and operation. Power system studies are important during the planning and conceptual design stages of the project as well as during the operating life of the plant periodically. This paper presents the power system stability analysis for IEEE- 9 bus test system. The fault is created on different busses and transient stability is analyzedfor different load and generation conditions. The critical clearing time (CCT) is calculated by using time domain classical extended equal area criterion method. The system frequency and voltage variation is observed for different fault locations and CCT. The IEEE-9 bus test system is simulated and stability is analyzed on ETAP software.
The increase in power demand has compelled the power system utilities to use series capacitive compensation in long transmission lines.
A problem called sub synchronous resonance (SSR) occurs in long lines because of series compensation. In this paper a flexible a.c. transmission
system (FACTS) device is used along with a proposed controller to damp out the sub synchronous oscillations from the system. An IEEE second
bench mark model is used for investigating the SSR problem, where a three phase short circuit fault is applied on the compensated transmission
line for analysis. A Matlab/Simulink model is used to study the time domain analysis of the system. An improvement in damping is seen with the
use of FACTS device i.e. unified power flow controller (UPFC) which is controlled by a Neural network (NN) based proportional integral (PI)
controller
DYNAMIC STABILITY ANALYSIS (Small Signal Stability) – 1
Small-Signal Stability of Multi-machine Systems
Special techniques for analysis of very large systems
Characteristics of Small-Signal Stability Problems
Local problems
Global problems
DYNAMIC STABILITY ANALYSIS – 2
Introduction
Overview of the Proposed Method
Generating Unit
Synchronous Machine
Calculation of Equilibrium State Conditions
Excitation and Governor Control Systems
Excitation System
Turbine-Governor System
Combined Model of Generating Unit
Steady state stability analysis and enhancement of three machine nine bus pow...eSAT Journals
Abstract
Power System stability study is the important parameter of economic, reliable and secure system planning and operation. Studies
are important during the planning and conceptual design stages of the project as well as during the operating life of the plant
periodically. This paper presents the power system steady state stability analysis for IEEE- 9 bus test system and examines
influence of TCPS FACTS device based controller on test system. It is assumed that system under study has been perturbed from a
steady state equilibrium that prevailed prior to the application of the disturbance. If system is stable, we would expect that for
temporary or permanent disturbance, system will acquire initial or new operating state after a transient period. The stability
study is accessed using Lyapunov’s first method. The effectiveness of damping controller in enhancing the steady state stability is
investigated by incorporating available constraints. For analysis MATLAB software is employed. The conclusions have been
drawn here, based on theoretical and mathematical analysis so as to provide an insight and better understanding of steady state
stability of considered multi machine power system.
Key Words: Lyapunov’s first method, Steady-state stability, Phase portrait, FACTS device, supplementary modulation
controller, eigen value, synchronizing power coefficient, IEEE-9 Bus Test System, Load Flow Study, Differential
algebraic equation.
Power System Stability Enhancement Using FLC and MPC for STATCOMIJERA Editor
In modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem
and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic
controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in
improving transient stability is simulated using MATLAB/ Simulink in power systems block set. PI, FLC and
MPC signals are used to control and exchange the required reactive power among the STATCOM and the power
grid. A load disturbance is simulated and the behavior of the system for voltage fluctuations has been studied.
Simulation results using Proportional-Integral (PI) controller, Fuzzy Logic Controller (FLC) and Model
Predictive Controller (MPC) have been compared. The effectiveness of the different controllers in damping
oscillations and improving power system stability has been discussed.
Power System Stability Enhancement Using FLC and MPC for STATCOMIJERA Editor
In modern power system, Static Compensator (STATCOM) is used to alleviate the transient stability problem
and damping power system oscillations. In this paper different STATCOM control scheme using fuzzy logic
controller (FLC) and model predictive controller (MPC) for the Single Machine Infinite Bus (SMIB) system in
improving transient stability is simulated using MATLAB/ Simulink in power systems block set. PI, FLC and
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1. [Sharma, 1(7): Sep., 2012]
http: // www.ijesrt.com (C) International Journal of Engineering
IJESRT
INTERNATIONAL JOURNA
Transient Stability Analysis of Power System Using Matlab
*1
YMCA University of
2
DCR University of Science & Technology, Murthal
This paper presents transient stability assessment of multi
Transient stability of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
stability analysis is done by considering three
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
electromagnetic transient program.
Keywords: MATLAB, Simulink, FCT, tra
Introduction
Modern electric power systems have grown to a large
complexity due to interconnections, installation of
large generating units and extra high voltage tie
etc. Due to increased operations which may cause
power system to be highly stressed condition, t
need for dynamic stability of power system is arising.
Transient stability assessment (TSA) is part of
dynamic security assessment of power system which
evolves the evolution of the ability of power system
to remain in equilibrium when subjected to
disturbances. The system response to such
disturbances involves large variation of rotor angles,
power flows bus voltages and other system variables.
Transient stability is a condition that characterizes the
dynamics of power system subjected to a fault, the
initial state proceeding the fault is balanced one. A
system is said to posses transient stability if after the
fault it is capable of maintaining synchronous
operation and returning to initial state or close to it.
The transient stability is a function of
condition and the disturbance. This makes the
transient stability analysis complicated as the non
linear ties of the system cannot be ignored.
In stability assessment the critical clearing time
(CCT) is a very important parameter in order
maintain the stability of power system. The CCT is
maximum time duration that a fault may occur in
power system without loss of stability. Fault clearing
time is set randomly. If the fault clearing time (FCT)
is more than CCT then the relative rotor angles
ISSN: 2277
International Journal of Engineering Sciences & Research Technology
INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH
TECHNOLOGY
Transient Stability Analysis of Power System Using Matlab
P R Sharma*1
, Narender Hooda2
YMCA University of Science and Technology Faridabad, India
DCR University of Science & Technology, Murthal
prsharma1966@gmail.com
Abstract
This paper presents transient stability assessment of multi-machine system with the help of Simulink based model.
of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
stability analysis is done by considering three phase fault at a bus with different Fault Clearing Time (FCT) and the
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
k, FCT, transient stability.
Modern electric power systems have grown to a large
complexity due to interconnections, installation of
large generating units and extra high voltage tie-lines
etc. Due to increased operations which may cause
power system to be highly stressed condition, the
need for dynamic stability of power system is arising.
Transient stability assessment (TSA) is part of
dynamic security assessment of power system which
evolves the evolution of the ability of power system
to remain in equilibrium when subjected to
urbances. The system response to such
disturbances involves large variation of rotor angles,
power flows bus voltages and other system variables.
Transient stability is a condition that characterizes the
dynamics of power system subjected to a fault, the
nitial state proceeding the fault is balanced one. A
system is said to posses transient stability if after the
fault it is capable of maintaining synchronous
operation and returning to initial state or close to it.
The transient stability is a function of both operating
condition and the disturbance. This makes the
transient stability analysis complicated as the non
linear ties of the system cannot be ignored.
In stability assessment the critical clearing time
(CCT) is a very important parameter in order
maintain the stability of power system. The CCT is
maximum time duration that a fault may occur in
power system without loss of stability. Fault clearing
time is set randomly. If the fault clearing time (FCT)
is more than CCT then the relative rotor angles will
go out of step and the system will lose stability.
Methods normally employed to find out the TSA are
by using time domain simulations, direct and
artificial intelligence methods. Time domain
simulation method is implemented by solving the
state space differential methods. Simulink is an
interactive environment for modeling and simulating
a wide variety of dynamic systems. A system is built
easily using blocks and results can be displayed
quickly. Simulink is used for studying the effects of
non-linearity of the system and thus is an ideal
research tool. Use of Simulink is growing rapidly for
research work in the area of power system and also in
the other areas. In this paper multi machine nine bus
system is modeled in Matlab/simulink and transient
stability analysis is done with the fault located in a
bus.
System Modeling
The system used is IEEE 9 bus system with three
generators, six transmission lines, three load buses
and three transformers is shown in Fig 1. The base
MVA is 100 and the system frequency is 60 Hz. The
system data is given in Appendix 1.The fault is
occurring near bus 7 and fault is cleared by opening
line 5-7.Fault clearing time is set randomly. The
complete system is modeled in Simulink with the
mathematical equations. All the buses except the
machine buses are eliminated and multi
representations of the internal nodes of the generators
are obtained. Using the self and transfer admittance
ISSN: 2277-9655
Sciences & Research Technology[418-422]
ENCES & RESEARCH
Transient Stability Analysis of Power System Using Matlab
machine system with the help of Simulink based model.
of a power system is based on the generator relative rotor angles obtained from time domain
simulations outputs. A self sufficient model of IEEE nine bus system has been given with full detail and transient
phase fault at a bus with different Fault Clearing Time (FCT) and the
results are found to be more accurate and quiet satisfactory as compared to models simulated in PSPICE and other
go out of step and the system will lose stability.
Methods normally employed to find out the TSA are
by using time domain simulations, direct and
methods. Time domain
simulation method is implemented by solving the
pace differential methods. Simulink is an
interactive environment for modeling and simulating
a wide variety of dynamic systems. A system is built
easily using blocks and results can be displayed
quickly. Simulink is used for studying the effects of
inearity of the system and thus is an ideal
research tool. Use of Simulink is growing rapidly for
research work in the area of power system and also in
the other areas. In this paper multi machine nine bus
system is modeled in Matlab/simulink and transient
stability analysis is done with the fault located in a
The system used is IEEE 9 bus system with three
generators, six transmission lines, three load buses
and three transformers is shown in Fig 1. The base
MVA is 100 and the system frequency is 60 Hz. The
system data is given in Appendix 1.The fault is
ing near bus 7 and fault is cleared by opening
7.Fault clearing time is set randomly. The
complete system is modeled in Simulink with the
mathematical equations. All the buses except the
machine buses are eliminated and multi-port
the internal nodes of the generators
are obtained. Using the self and transfer admittance
2. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
parameters of reduced electrical network electric
power output of the generators can be obtained. The
program to obtain the reduced admittance matrix is
given in Appendix.
The admittance matrix Ybus,mod is augmented by
including the transient reactance of the generators.
Let Ybus,mod after inclusion of load impedances be
partitioned as
Ybus,mod =
1 2
3 4
Y Y
Y Y
(1)
Where sub matrix Y1 is of order m×m and
corresponds to the buses where generators are
connected and Y2 , Y3 and Y4 are the other sub
matrices.
Then the augmented bus admittance matrix Ybus,aug
with ground as reference would be represented as
, 1 2
3 4
0
0
bus aug
y y
Y y Y y Y
Y Y
−
= − +
(2)
The matrix is reduced by applying Kron’s reduction
formula eliminating all buses expect the generator
buses. For symmetrical three phase to ground at bus k
the row and column corresponding to bus k are set to
zero before applying network reduction. In stability
analysis three reduced matrices are required to be
computed pre-fault, during fault and the post fault in
power system.
Fig. 1 WSCC 3-machine 9 bus system
The generator electric power output for each machine
is computed by following equation
2
1
cos( )
n
ei i ii i j ij ij i j
j
P E G E E Y θ δ δ
=
= + − +∑
(3)
Where
The equation of the motion are given by
2
1
2
cos(
n
i i
i i mi i ii i j ij ij i j
R j
Hd
D P E G EE Y
dt
ω
ω θ δ δ
ω
=
+ = − + − +
∑
(5)
And
i
i R
d
d t
δ
ω ω= − (6)
It is noted that prior to the fault (t=0) Pmi0 = Pei0
The subscript 0 is used to indicate the pre transient
conditions.
As the network changes due to fault, the
corresponding values will be changed in the above
equation.
Simulink Models
The complete three generator system shown in Fig.1
has been simulated as single integral model in
Simulink. Fig 2 shows the complete block diagram of
the system for transient stability study. Subsystems 1
is meant to compute the electric power output of each
generator. The model also facilitates the choice of
simulation parameters like start time, stop time,
solver etc.
ij ij ij ij ij
ii ii i ii ii
Y Y G jB
Y Y G jB
θ
θ
= ∠ = +
= ∠ = +
3. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
http: // www.ijesrt.com (C) International Journal of Engineering Sciences & Research Technology[418-422]
Fig.2 Complete system Model for Transient stability
Analysis
Fig.3 Simulink model for Computation of electric power
output of generator 1
Simulation Results
System Responses are given for different values of
FCT. Fault is created near bus 7 and it is cleared at
different clearing time by opening line 5-7. Fig 4 (a)
and (b) shows the relative angular positions of the
generators taking generator one as reference and
individuals angles of each generator. Fig(c) and (d)
shows the accerlating powers and angular velocities
of each generator for the FCT equal to 0.1sec Fig
shows that the rotors angles are in synchronism with
each other making the system stable when the fault
clearing time is 0.1sec.As the FCT increases the
system will move towards instability as the FCT will
become greater that the CCT. When the FCT in 0.3
sec. the system is unstable.
Fig 5(a)-(d) shows the accerlating powers, Relative
angular positions and angular velocities of the
generators and Fig 5(b) shows as the fault clearing
time is increased the rotor angles of the generators go
out of synchronism and the system is losing stability.
(Fault cleared at 0.1s)
(a) Relative angular positions of angles
(Fault cleared at 0.1s)
(b) Angular positions of individual generators
(Fault cleared at 0.1s)
4. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
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(c) Generator accelerating Powers
(Fault cleared at 0.1s)
(d) Angular velocities of generators
Fig 4 (a) – (d)
(Fault cleared at 0.3sec)
(a) Accerlating power of generators
(Fault cleared at 0.3sec)
(b) Relative angular positions of generators
(Fault cleared at 0.3 sec)
(c) Angular velocities of individual generators
Fig 5(a)-(c)
Fig 6(a)-(b) shows the relative rotor angles and the
accelerating powers of the generators. Fig 6(a) shows
that the rotor angles synchronism making the system
unstable.
(Fault cleared at 0.5sec)
(a) Relative angles in degree
(Fault cleared at 0.5sec)
(c) Accerlating powers of the generators
Fig.6 (a) - (b)
Conclusion
A complete model to study the transient behavior of
Multi-machine system was developed using
Simulink. It is basically a transfer function and block
diagram representation of system equations. The
system was simulated for different FCT and the
results are highly satisfactory. A Simulink model is
very user friendly and for transient stability analysis
the model facilitates the fast and precise solution of
nonlinear differential equation.
5. [Sharma, 1(7): Sep., 2012] ISSN: 2277-9655
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Appendix
n=9;
Y=zeros(n);
n=n-1;
i=1;
k=1;
for ii=1:locs;
add=loc(ii+1)-loc(ii);
for kk=1:add;
J=c(k);
Y(i,i)=Y(i,i)+1/e(k);
if J==0;
disp('branch')
k=k+1;
else
Y(J,J)=Y(J,J) +1/e(k);
Y(i,J)=Y(i,J) -1/e(k);
Y(J,i)=Y(i,J);
k=k+1;
end
end
i=i+1;
end
Y
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control, EPRI Power Sytem Engineering
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Engineering
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