The power quality injected into the grid and the performance of the converter system depend on the quality of the inverter current control. This paper proposes a design and control technique for a photovoltaic inverter connected to the grid based on the digital pulse-width modulation (DSPWM) which can synchronise a sinusoidal output current with a grid voltage and control a power factor. The current injected must be sinusoidal with reduced harmonic distortion. The connected PV system is based on H-Bridge inverter controlled by bipolar PWM Switching. The current control technique and functional structure of this system are presented and simulated. Detailed analysis, Simulations results of output voltage and current waveform demonstrate the contribution of this approach to determinate the suitable control of the system. A digital design of a generator PWM using VHDL is proposed and implemented on a Xilinx FPGA and it has been validated with experimental results. As a result, the proposed inverter implementation is simple, and it becomes an attractive solution for low power grid connected applications.
This paper presents the optimization design and a detailed implementation in FPGA (Field-Programmable Gate Array) of a power control strategy. This strategy is based on the phase shift angle of the inverter output voltage with respect to the grid voltage and DSPWM (Digital Sinusoidal Pulse Width Modulation) patterns “Phase shift angle-DSPWM” for an inverter for photovoltaic system connected to the grid. The proposed control can synchronize a sinusoidal inverter output current with a grid voltage and control the power injected into the grid. Detailed development of a digital controller with lower hardware and computation requirement is proposed. Description on the digital implementation of the A/D converter, the PI compensator, the phase shift and the DPWM, is provided. This digital control exhibit simplicity, reduction of the memory requirements and power calculation for the control. The functional structure of this system with digital control has been validated with simulations and experimental results.
This paper studies the suitability of a vector based current control which is mostly employed for its faster response in the reactive current applications of static compnesators (STATCOMs). The current control is mostly achieved using proportional-integral (PI) controllers because of the advantage of their good tracking and small variations. However, due to the dependency of PI controllers on the modular multilevel converter (MMC) system dynamics, performance variations arise during steady-state STATCOM non-ideal operations. This paper presents an improved MMC based STATCOM control with a d-q compensation algorithm added to the vector based current control. The algorithm is derived to tackle the effects of the dynamics of the MMC and the STATCOM ideal variations without the use of any additional controller. The control is achieved by providing a power compensation in the d,q-axis which injects currents at the input of the PI controllers in order to improve the steady-state performance of the STATCOM control.
AUTOMATIC VOLTAGE CONTROL OF TRANSFORMER USING MICROCONTROLLER AND SCADA Ajesh Jacob
AUTOMATIC VOLTAGE CONTROL OF TRANSFORMER USING MICROCONTROLLER AND SCADA
LABVIEW PROJECT FINAL YEAR EEE
ABSTRACT: A tap changer control operates to connect appropriate tap position of winding in power transformers to maintain correct voltage level in the power transmission and distribution system. Automatic tap changing can be implemented by using µC. This improved tap-changing decision and operational flexibility of this new technique make it attractive for deployment in practical power system network. This paper deals with the implementation of µC based tap changer control practically, using special purpose digital hardware as a built-in semiconductor chip or software simulation in conventional computers. Two strategies are suggested for its implementation as a software module in the paper. One is to integrate it with the supervisory system in a substation control room operating in a LAN environment. In this configuration, the parallel transformers can be controlled locally. The other is to integrate it into the SCADA (Supervisory Control and Data Acquisition) system, which allows the transformers to be monitored and controlled remotely over a wide area of power-network. The implementation of µC based tap changer control needs interfacing between the power system and the control circuitry. µC s may need to interact with people for the purpose of configuration, alarm reporting or everyday control.
A human-machine interface (HMI) is employed for this purpose. An HMI is usually linked to the SCADA system’s databases and software programs, to provide trending, diagnostic data, and management information such as scheduled maintenance procedures, logistic information, detailed schematics for a particular sensor or machine, and expert-system troubleshooting guides.
OBJECTIVES: The original system can afford the following features:
- Complete information about the plant (circuit breakers status, source of feeding, and level of the consumed power).
- Information about the operating values of the voltage, operating values of the transformers, operating values of the medium voltage, load feeders, operating values of the generators. These values will assist in getting any action to return the plant to its normal operation by minimum costs.
- Information about the quality of the system (harmonics, current, voltages, power factors, flickers, etc.). These values will be very essential in case of future correction.
- Recorded information such case voltage spikes, reducing the voltage on the medium or current interruption.
- implementation of µC based tap changer control practically, using special purpose digital hardware as a built-in semiconductor chip or software simulation in conventional computers.
This paper describe the design and
implementation of an “Automatic method of protecting
transformer as an alternative to the fuse protection technique”.
The aim of this paper is to provide an alternative, effective,
efficient and more reliable method of protecting fault from
power transformer which may arose as a result of overload,
high temperature or a high input voltage. Generally, fault may
occur in transformers due to the stated reasons. To safeguard
the damage of the transformer with the aid and help of
microcontroller we monitor and control the entire circuitry.
Thereafter regarding the monitoring and control, information
about the operation of the parameters would be transmitted to a
personal computer for general monitoring and control, which
avoid the need of the lines men who had to go to the transformer
to re-fix fuses. Lastly, a working system was demonstrated to
authenticate the design and possible improvements were also
presented.
This paper presents the optimization design and a detailed implementation in FPGA (Field-Programmable Gate Array) of a power control strategy. This strategy is based on the phase shift angle of the inverter output voltage with respect to the grid voltage and DSPWM (Digital Sinusoidal Pulse Width Modulation) patterns “Phase shift angle-DSPWM” for an inverter for photovoltaic system connected to the grid. The proposed control can synchronize a sinusoidal inverter output current with a grid voltage and control the power injected into the grid. Detailed development of a digital controller with lower hardware and computation requirement is proposed. Description on the digital implementation of the A/D converter, the PI compensator, the phase shift and the DPWM, is provided. This digital control exhibit simplicity, reduction of the memory requirements and power calculation for the control. The functional structure of this system with digital control has been validated with simulations and experimental results.
This paper studies the suitability of a vector based current control which is mostly employed for its faster response in the reactive current applications of static compnesators (STATCOMs). The current control is mostly achieved using proportional-integral (PI) controllers because of the advantage of their good tracking and small variations. However, due to the dependency of PI controllers on the modular multilevel converter (MMC) system dynamics, performance variations arise during steady-state STATCOM non-ideal operations. This paper presents an improved MMC based STATCOM control with a d-q compensation algorithm added to the vector based current control. The algorithm is derived to tackle the effects of the dynamics of the MMC and the STATCOM ideal variations without the use of any additional controller. The control is achieved by providing a power compensation in the d,q-axis which injects currents at the input of the PI controllers in order to improve the steady-state performance of the STATCOM control.
AUTOMATIC VOLTAGE CONTROL OF TRANSFORMER USING MICROCONTROLLER AND SCADA Ajesh Jacob
AUTOMATIC VOLTAGE CONTROL OF TRANSFORMER USING MICROCONTROLLER AND SCADA
LABVIEW PROJECT FINAL YEAR EEE
ABSTRACT: A tap changer control operates to connect appropriate tap position of winding in power transformers to maintain correct voltage level in the power transmission and distribution system. Automatic tap changing can be implemented by using µC. This improved tap-changing decision and operational flexibility of this new technique make it attractive for deployment in practical power system network. This paper deals with the implementation of µC based tap changer control practically, using special purpose digital hardware as a built-in semiconductor chip or software simulation in conventional computers. Two strategies are suggested for its implementation as a software module in the paper. One is to integrate it with the supervisory system in a substation control room operating in a LAN environment. In this configuration, the parallel transformers can be controlled locally. The other is to integrate it into the SCADA (Supervisory Control and Data Acquisition) system, which allows the transformers to be monitored and controlled remotely over a wide area of power-network. The implementation of µC based tap changer control needs interfacing between the power system and the control circuitry. µC s may need to interact with people for the purpose of configuration, alarm reporting or everyday control.
A human-machine interface (HMI) is employed for this purpose. An HMI is usually linked to the SCADA system’s databases and software programs, to provide trending, diagnostic data, and management information such as scheduled maintenance procedures, logistic information, detailed schematics for a particular sensor or machine, and expert-system troubleshooting guides.
OBJECTIVES: The original system can afford the following features:
- Complete information about the plant (circuit breakers status, source of feeding, and level of the consumed power).
- Information about the operating values of the voltage, operating values of the transformers, operating values of the medium voltage, load feeders, operating values of the generators. These values will assist in getting any action to return the plant to its normal operation by minimum costs.
- Information about the quality of the system (harmonics, current, voltages, power factors, flickers, etc.). These values will be very essential in case of future correction.
- Recorded information such case voltage spikes, reducing the voltage on the medium or current interruption.
- implementation of µC based tap changer control practically, using special purpose digital hardware as a built-in semiconductor chip or software simulation in conventional computers.
This paper describe the design and
implementation of an “Automatic method of protecting
transformer as an alternative to the fuse protection technique”.
The aim of this paper is to provide an alternative, effective,
efficient and more reliable method of protecting fault from
power transformer which may arose as a result of overload,
high temperature or a high input voltage. Generally, fault may
occur in transformers due to the stated reasons. To safeguard
the damage of the transformer with the aid and help of
microcontroller we monitor and control the entire circuitry.
Thereafter regarding the monitoring and control, information
about the operation of the parameters would be transmitted to a
personal computer for general monitoring and control, which
avoid the need of the lines men who had to go to the transformer
to re-fix fuses. Lastly, a working system was demonstrated to
authenticate the design and possible improvements were also
presented.
Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power delivery. This scheme is done by adjusting trigger angle to regulate direct current (DC) in thyristor devices. The adaptive neuro-fuzzy inference system (ANFIS) control is widely applied for start and fault operation. But, solution for transient response of DC current in HVDC system is not clearly studied before. In this paper, supplementary control (SC) based on ANFIS is proposed to improve the transient response of the current. The SC control is designed by learning-processes and SC parameters are obtained by data-training automatically. For current reference at 1.05 pu and up-ramp at 20 pu/s, maximum overshoot is achieved at 5.12% and 7.72% for the SC and proportional integral controller (PIC), respectively. When the up-ramp is increased to 28 pu/s, the maximum overshoot is achieved at 10.01% for the SC. While, the peak overshoot for the PIC is 14.28%.
Hardware Implementation of Single Phase Power Factor Correction System using ...IAES-IJPEDS
Rapid increase of consumers in electronics devices and the use of mains rectification circuits inside these electronic devices is the root cause of mains harmonic distortion. Automatic power factor correction techniques can be applied to the industries, power systems and households to make them stable inturns increases the efficiency of system as well as the apparatus. This paper deals with the hardware design of active power factor correction circuit employing boost converter which is used to boost the DC voltages with a controller based on PID control strategy. The pulses given to power switches by pulse width modulation techniques generated by utilizing micro-controller board, Arduino thus obviating the need of complex hardware circuitry. MATLAB/SIMULINK was used to design and tune the PID controller parameters. The simulation results are matching with the predictions and the same was implemented as hardware. The waveforms various test points and across capacitors were obtained, studied and compared with the theoretical waveforms and are found to be in precise proximity of theoretical waveforms.
This paper proposes a single-bit ADC system based Proportional and Integral (PI) controller to maintain a desired level of power transfer efficiency in Capacitive Power Transfer (CPT) systems. In this paper, a simple single-bit ADC system i.e., Single-Bit Modulator (SBM) is considered as an alternative to the commonly used multi-bit ADC systems. Unique features of employing SBM are 1) its ability to convert analog signals into single-bit signals and 2) its easy integrability in digital chips with linear variable differential transformers (LVDTs) such as FPGAs. A SBM based PI (SBM-PI) controller is designed to judicially interface with the single-bit output of SBM. The proposed (SBM-PI) controller guarantees less hardware resources, latency and regulates the output voltage to provide the desired power transfer efficiency. The behavior of SBM-PI controller is compared to that of a conventional multi-bit controller, with the results of both controllers being identical. The effectiveness of the proposed controller with SBM is further demonstrated using the experimental prototype of CPT by implementing a SBM-PI controller using $16$ MHz ATmega8 microcontroller. The experimental results from a laboratory prototype illustrate that SBM-PI controller successfully regulates the output voltage of CPT to control the power flow.
Average current control of DC-DC Cuk Converters as Power Factor CorrectorIJERA Editor
The era of electronic devices in all loads due to the manufacturing technologies replaced many conventional electrical or mechanical loads including lighting loads where Light Emitting Diodes (LEDs) is becoming an emerging technique with many advantages. High frequency switching dc-dc converter is a new technology to control the load and the supply side simultaneously. Due to additional harmonics generated by these switching converters power factor correction has become a necessity in utility side. This paper focuses on the power factor correction of the supply side when employing an ideal LED load with dc-dc Cuk converter. This paper also illustrates the controlling of the power factor correction employing high switching frequency dc-dc converters. The control loops employed are discussed and the strategy for designing the compensator is also explained. The simulated results have been shown to ascertain the accepted performance of the power factor correction converter.
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...ijeei-iaes
Consumer utilities are non –linear in nature. This injects increased flow of current and reduced voltage with distortions which cause adverse effect on the stability of consumer utilities. To overcome this problem we are using a modern Flexible Alternating Current Transmission System controller i.e. distributed power flow controller (DPFC). This controller is similar to UPFC, which can be installed in a transmission line between the two electrical areas. In DPFC, instead of the common Dc link capacitor three single phase converters are used. In this paper we are concentrating on system stability (oscillation damping). For analyzing the stability of a single machine infinite bus system (SMIB) we have used PI controlled Distributed Power Flow Controller (DPFC) and Fuzzy controlled DPFC. All these models are simulated using MATLAB/SIMULINK. Simulation results shows Fuzzy controlled DPFC are better than PI controlled DPFC. The significance of the results are better stability and constant power supply.
Analysis of Total Harmonic Distortion (THD) Level of Distribution Network Usi...IJERA Editor
The modern sensitive, Non-linear and sophisticated load affects the power quality. Dynamic Voltage Restorer (DVR) provides the fast, flexible and efficient solution to improve the power quality for such distribution network [8]. The active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operations are the major source of affecting power quality. The intent of this paper is to demonstrate the improvements obtained with DVR in power system network using MATLAB/SIMULINK. In this paper, an overview of the DVR, its functions, configurations, components, control strategies are reviewed. The Simulation results are presented to illustrate the performance of DVR in Total Harmonic Distortion (THD). The results showed clearly the performance of using DVR in improving THD level.
Solar Photovoltaic Generators with MPPT and Battery Storage in MicrogridsIAES-IJPEDS
Maximum power point tracking (MPPT) of a photo voltaic system with
different temperature and insolation conditions used for Micro grids can be
explained in this paper. The different steps of the design of this controller are
presented together with its simulation and the feasibility of control methods
to be adopted for the operation of a micro grid when it becomes isolated.
Normally, the micro grid operates in interconnected mode with the medium
voltage network; however, scheduled or forced isolation can take place.
In such conditions, the micro grid must have the ability to operate stably
and autonomously. An evaluation of the need of storage devices and load to
take off strategies is included in this paper. Solar photovoltaic (PV) energy
has witnessed double-digit growth in the past decade. The penetration of PV
systems as distributed generators in low-voltage grids has also seen
significant attention. In addition, the need for higher overall grid efficiency
and reliability has boosted the interest in the microgrid concept.
High-efficiency PV-based microgrids require maximum power point tracking
(MPPT) controllers to maximize the harvested energy due to the nonlinearity
in PV module characteristics. This paper proposes an approach
of coordinated and integrated control of solar PV generators with the
maximum power point tracking (MPPT) control and battery storage control
to provide voltage and frequency (V-f) support to an islanded microgrid.
The simulation studies are carried out with the IEEE 13-bus feeder test
system in grid connected and islanded microgrid modes. The MPPT
of a Photovoltaic System for Micro Grid operation is successfully designed
and simulated by using MATLAB/Simulink Software in this paper.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
These slides explain about MPPT control and different approaches for wind generation system. Later I will show the comparative results with MATLAB simulation.
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.
Control technique for single phase inverter photovoltaic system connected to ...jbpatel7290
In photovoltaic system connected to the grid, the main goal is to control the power that the inverter injects into the grid
from the energy provided by the photovoltaic generator. The power quality injected into the grid and the performance of the
converter system depend on the quality of the inverter current control. In this paper, a control technique for a photovoltaic
system connected to the grid based on digital pulse-width modulation (DSPWM) which can synchronize a sinusoidal output
current with a grid voltage and control the power factor is proposed. This control is based on the single phase inverter controlled
by bipolar PWM Switching and lineal current control. The electrical scheme of the system is presented. The approach is widely
explained. Simulations results of output voltage and current validate the impact of this method to determinate the appropriate
control of the system. A digital design of the control based on generator PWM using VHDL is proposed and implemented on
Field-Programmable Gate Array “FPGA”.
Current control scheme is commonly used in high voltage direct current (HVDC) to transmit power delivery. This scheme is done by adjusting trigger angle to regulate direct current (DC) in thyristor devices. The adaptive neuro-fuzzy inference system (ANFIS) control is widely applied for start and fault operation. But, solution for transient response of DC current in HVDC system is not clearly studied before. In this paper, supplementary control (SC) based on ANFIS is proposed to improve the transient response of the current. The SC control is designed by learning-processes and SC parameters are obtained by data-training automatically. For current reference at 1.05 pu and up-ramp at 20 pu/s, maximum overshoot is achieved at 5.12% and 7.72% for the SC and proportional integral controller (PIC), respectively. When the up-ramp is increased to 28 pu/s, the maximum overshoot is achieved at 10.01% for the SC. While, the peak overshoot for the PIC is 14.28%.
Hardware Implementation of Single Phase Power Factor Correction System using ...IAES-IJPEDS
Rapid increase of consumers in electronics devices and the use of mains rectification circuits inside these electronic devices is the root cause of mains harmonic distortion. Automatic power factor correction techniques can be applied to the industries, power systems and households to make them stable inturns increases the efficiency of system as well as the apparatus. This paper deals with the hardware design of active power factor correction circuit employing boost converter which is used to boost the DC voltages with a controller based on PID control strategy. The pulses given to power switches by pulse width modulation techniques generated by utilizing micro-controller board, Arduino thus obviating the need of complex hardware circuitry. MATLAB/SIMULINK was used to design and tune the PID controller parameters. The simulation results are matching with the predictions and the same was implemented as hardware. The waveforms various test points and across capacitors were obtained, studied and compared with the theoretical waveforms and are found to be in precise proximity of theoretical waveforms.
This paper proposes a single-bit ADC system based Proportional and Integral (PI) controller to maintain a desired level of power transfer efficiency in Capacitive Power Transfer (CPT) systems. In this paper, a simple single-bit ADC system i.e., Single-Bit Modulator (SBM) is considered as an alternative to the commonly used multi-bit ADC systems. Unique features of employing SBM are 1) its ability to convert analog signals into single-bit signals and 2) its easy integrability in digital chips with linear variable differential transformers (LVDTs) such as FPGAs. A SBM based PI (SBM-PI) controller is designed to judicially interface with the single-bit output of SBM. The proposed (SBM-PI) controller guarantees less hardware resources, latency and regulates the output voltage to provide the desired power transfer efficiency. The behavior of SBM-PI controller is compared to that of a conventional multi-bit controller, with the results of both controllers being identical. The effectiveness of the proposed controller with SBM is further demonstrated using the experimental prototype of CPT by implementing a SBM-PI controller using $16$ MHz ATmega8 microcontroller. The experimental results from a laboratory prototype illustrate that SBM-PI controller successfully regulates the output voltage of CPT to control the power flow.
Average current control of DC-DC Cuk Converters as Power Factor CorrectorIJERA Editor
The era of electronic devices in all loads due to the manufacturing technologies replaced many conventional electrical or mechanical loads including lighting loads where Light Emitting Diodes (LEDs) is becoming an emerging technique with many advantages. High frequency switching dc-dc converter is a new technology to control the load and the supply side simultaneously. Due to additional harmonics generated by these switching converters power factor correction has become a necessity in utility side. This paper focuses on the power factor correction of the supply side when employing an ideal LED load with dc-dc Cuk converter. This paper also illustrates the controlling of the power factor correction employing high switching frequency dc-dc converters. The control loops employed are discussed and the strategy for designing the compensator is also explained. The simulated results have been shown to ascertain the accepted performance of the power factor correction converter.
Comparison of Dynamic Stability Response of A SMIB with PI and Fuzzy Controll...ijeei-iaes
Consumer utilities are non –linear in nature. This injects increased flow of current and reduced voltage with distortions which cause adverse effect on the stability of consumer utilities. To overcome this problem we are using a modern Flexible Alternating Current Transmission System controller i.e. distributed power flow controller (DPFC). This controller is similar to UPFC, which can be installed in a transmission line between the two electrical areas. In DPFC, instead of the common Dc link capacitor three single phase converters are used. In this paper we are concentrating on system stability (oscillation damping). For analyzing the stability of a single machine infinite bus system (SMIB) we have used PI controlled Distributed Power Flow Controller (DPFC) and Fuzzy controlled DPFC. All these models are simulated using MATLAB/SIMULINK. Simulation results shows Fuzzy controlled DPFC are better than PI controlled DPFC. The significance of the results are better stability and constant power supply.
Analysis of Total Harmonic Distortion (THD) Level of Distribution Network Usi...IJERA Editor
The modern sensitive, Non-linear and sophisticated load affects the power quality. Dynamic Voltage Restorer (DVR) provides the fast, flexible and efficient solution to improve the power quality for such distribution network [8]. The active power, reactive power, variation of voltage, flicker, harmonics, and electrical behavior of switching operations are the major source of affecting power quality. The intent of this paper is to demonstrate the improvements obtained with DVR in power system network using MATLAB/SIMULINK. In this paper, an overview of the DVR, its functions, configurations, components, control strategies are reviewed. The Simulation results are presented to illustrate the performance of DVR in Total Harmonic Distortion (THD). The results showed clearly the performance of using DVR in improving THD level.
Solar Photovoltaic Generators with MPPT and Battery Storage in MicrogridsIAES-IJPEDS
Maximum power point tracking (MPPT) of a photo voltaic system with
different temperature and insolation conditions used for Micro grids can be
explained in this paper. The different steps of the design of this controller are
presented together with its simulation and the feasibility of control methods
to be adopted for the operation of a micro grid when it becomes isolated.
Normally, the micro grid operates in interconnected mode with the medium
voltage network; however, scheduled or forced isolation can take place.
In such conditions, the micro grid must have the ability to operate stably
and autonomously. An evaluation of the need of storage devices and load to
take off strategies is included in this paper. Solar photovoltaic (PV) energy
has witnessed double-digit growth in the past decade. The penetration of PV
systems as distributed generators in low-voltage grids has also seen
significant attention. In addition, the need for higher overall grid efficiency
and reliability has boosted the interest in the microgrid concept.
High-efficiency PV-based microgrids require maximum power point tracking
(MPPT) controllers to maximize the harvested energy due to the nonlinearity
in PV module characteristics. This paper proposes an approach
of coordinated and integrated control of solar PV generators with the
maximum power point tracking (MPPT) control and battery storage control
to provide voltage and frequency (V-f) support to an islanded microgrid.
The simulation studies are carried out with the IEEE 13-bus feeder test
system in grid connected and islanded microgrid modes. The MPPT
of a Photovoltaic System for Micro Grid operation is successfully designed
and simulated by using MATLAB/Simulink Software in this paper.
The International Journal of Engineering and Science (The IJES)theijes
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
These slides explain about MPPT control and different approaches for wind generation system. Later I will show the comparative results with MATLAB simulation.
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.
Control technique for single phase inverter photovoltaic system connected to ...jbpatel7290
In photovoltaic system connected to the grid, the main goal is to control the power that the inverter injects into the grid
from the energy provided by the photovoltaic generator. The power quality injected into the grid and the performance of the
converter system depend on the quality of the inverter current control. In this paper, a control technique for a photovoltaic
system connected to the grid based on digital pulse-width modulation (DSPWM) which can synchronize a sinusoidal output
current with a grid voltage and control the power factor is proposed. This control is based on the single phase inverter controlled
by bipolar PWM Switching and lineal current control. The electrical scheme of the system is presented. The approach is widely
explained. Simulations results of output voltage and current validate the impact of this method to determinate the appropriate
control of the system. A digital design of the control based on generator PWM using VHDL is proposed and implemented on
Field-Programmable Gate Array “FPGA”.
This work includes the establishment of a Photovoltaic system connected to the grid by means of an inverter. The fundamental goal of the work is to incorporate an advanced active power flow management scheme in order to adopt load at any weather condition along with the advantage of maximum active power flow and zero harmonics from PV inverter to the grid. The outcome of analysis and control design of grid connected PV inverter using a Proportional-Integral (PI) control technique is based on synchronous dq rotating reference frame so as to achieve maximum output voltage and record the active power. It has been observed that the model provides a better rate of stability as compared to the existing topology.
Control of Two Stage PV Power System under the Unbalanced Three Phase Grid Vo...ijtsrd
This paper proposes a dynamic power decoupling DPD strategy for the three phase grid tied PV power system without increasing the dc link capacitance. Under normal condition, the interleaved boost converter will extract the maximum power point MPP from the PV array and the three phase inverter will inject the power to the grid. During the unbalanced grid fault scenario, the input power and current of the interleaved boost converter will be controlled by the proposed DPD to achieve the power decoupling capability as well as to eliminate the dc link voltage oscillation. The proposed work has been carried out in MATLAB, and the results are presented. Manasa | Nirmaladevi ""Control of Two Stage PV Power System under the Unbalanced Three-Phase Grid Voltages"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30091.pdf
Paper Url : https://www.ijtsrd.com/engineering/electrical-engineering/30091/control-of-two-stage-pv-power-system-under-the-unbalanced-three-phase-grid-voltages/manasa
Seamless Transitions between Grid-Connected and Stand-Alone Operations of Dis...IJERD Editor
Control of the Distributed Generation (DG) system is important in both grid-connected and standalone
modes and the system stability becomes very crucial during the transfer between these two modes. If the
system does not have a proper transfer procedure, severe transient voltages or currents will occur, which may
damage the entire system. A seamless transfer can ensure smooth operation and quick attainment of steady state.
In order to solve these transition problems, this paper presents the development and test of a control strategy for
DG capable of working in grid-connected and intentional islanding connection modes with seamless transitions
from both operational modes.
An Efficient PMG based Wind Energy Conversion System with Power Quality Impro...IDES Editor
This paper presents an efficient small scale wind
energy conversion system using permanent magnet generators
(PMGs) and power electronic converters. In the proposed
system, variable magnitude and variable frequency of PMG
are converted to constant DC using a full bridge rectifier and
closed loop boost converter. This constant DC output is
converted to AC using Grid interfacing inverter. The inverter
is controlled in such a manner that it can perform as a
conventional inverter as well as an active power filter. The
inverter can thus be utilized as a power converter injecting
power generated from renewable energy source to the grid
and as a shunt active power filter to compensate for power
quality disturbances and load reactive power demand.
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%.
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
This research is developing an incubator system that integrates the internet of things and artificial intelligence to improve care for premature babies. The system workflow starts with sensors that collect data from the incubator. Then, the data is sent in real-time to the internet of things (IoT) broker eclipse mosquito using the message queue telemetry transport (MQTT) protocol version 5.0. After that, the data is stored in a database for analysis using the long short-term memory network (LSTM) method and displayed in a web application using an application programming interface (API) service. Furthermore, the experimental results produce as many as 2,880 rows of data stored in the database. The correlation coefficient between the target attribute and other attributes ranges from 0.23 to 0.48. Next, several experiments were conducted to evaluate the model-predicted value on the test data. The best results are obtained using a two-layer LSTM configuration model, each with 60 neurons and a lookback setting 6. This model produces an R 2 value of 0.934, with a root mean square error (RMSE) value of 0.015 and a mean absolute error (MAE) of 0.008. In addition, the R 2 value was also evaluated for each attribute used as input, with a result of values between 0.590 and 0.845.
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
Honey is produced exclusively by honeybees and stingless bees which both are well adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for producing small amounts of honey and are known for having a unique flavor profile. Problem identified that many stingless bees collapsed due to weather, temperature and environment. It is critical to understand the relationship between the production of stingless bee honey and environmental conditions to improve honey production. Thus, this paper presents a review on stingless bee's honey production and prediction modeling. About 54 previous research has been analyzed and compared in identifying the research gaps. A framework on modeling the prediction of stingless bee honey is derived. The result presents the comparison and analysis on the internet of things (IoT) monitoring systems, honey production estimation, convolution neural networks (CNNs), and automatic identification methods on bee species. It is identified based on image detection method the top best three efficiency presents CNN is at 98.67%, densely connected convolutional networks with YOLO v3 is 97.7%, and DenseNet201 convolutional networks 99.81%. This study is significant to assist the researcher in developing a model for predicting stingless honey produced by bee's output, which is important for a stable economy and food security.
A trust based secure access control using authentication mechanism for intero...IJECEIAES
The internet of things (IoT) is a revolutionary innovation in many aspects of our society including interactions, financial activity, and global security such as the military and battlefield internet. Due to the limited energy and processing capacity of network devices, security, energy consumption, compatibility, and device heterogeneity are the long-term IoT problems. As a result, energy and security are critical for data transmission across edge and IoT networks. Existing IoT interoperability techniques need more computation time, have unreliable authentication mechanisms that break easily, lose data easily, and have low confidentiality. In this paper, a key agreement protocol-based authentication mechanism for IoT devices is offered as a solution to this issue. This system makes use of information exchange, which must be secured to prevent access by unauthorized users. Using a compact contiki/cooja simulator, the performance and design of the suggested framework are validated. The simulation findings are evaluated based on detection of malicious nodes after 60 minutes of simulation. The suggested trust method, which is based on privacy access control, reduced packet loss ratio to 0.32%, consumed 0.39% power, and had the greatest average residual energy of 0.99 mJoules at 10 nodes.
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
In real world applications, data are subject to ambiguity due to several factors; fuzzy sets and fuzzy numbers propose a great tool to model such ambiguity. In case of hesitation, the complement of a membership value in fuzzy numbers can be different from the non-membership value, in which case we can model using intuitionistic fuzzy numbers as they provide flexibility by defining both a membership and a non-membership functions. In this article, we consider the intuitionistic fuzzy linear programming problem with intuitionistic polygonal fuzzy numbers, which is a generalization of the previous polygonal fuzzy numbers found in the literature. We present a modification of the simplex method that can be used to solve any general intuitionistic fuzzy linear programming problem after approximating the problem by an intuitionistic polygonal fuzzy number with n edges. This method is given in a simple tableau formulation, and then applied on numerical examples for clarity.
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
Prostate cancer is the predominant form of cancer observed in men worldwide. The application of magnetic resonance imaging (MRI) as a guidance tool for conducting biopsies has been established as a reliable and well-established approach in the diagnosis of prostate cancer. The diagnostic performance of MRI-guided prostate cancer diagnosis exhibits significant heterogeneity due to the intricate and multi-step nature of the diagnostic pathway. The development of artificial intelligence (AI) models, specifically through the utilization of machine learning techniques such as deep learning, is assuming an increasingly significant role in the field of radiology. In the realm of prostate MRI, a considerable body of literature has been dedicated to the development of various AI algorithms. These algorithms have been specifically designed for tasks such as prostate segmentation, lesion identification, and classification. The overarching objective of these endeavors is to enhance diagnostic performance and foster greater agreement among different observers within MRI scans for the prostate. This review article aims to provide a concise overview of the application of AI in the field of radiology, with a specific focus on its utilization in prostate MRI.
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
Modern life is strongly associated with the use of cars, but the increase in acceleration speeds and their maneuverability leads to a dangerous driving style for some drivers. In these conditions, the development of a method that allows you to track the behavior of the driver is relevant. The article provides an overview of existing methods and models for assessing the functioning of motor vehicles and driver behavior. Based on this, a combined algorithm for recognizing driving style is proposed. To do this, a set of input data was formed, including 20 descriptive features: About the environment, the driver's behavior and the characteristics of the functioning of the car, collected using OBD II. The generated data set is sent to the Kohonen network, where clustering is performed according to driving style and degree of danger. Getting the driving characteristics into a particular cluster allows you to switch to the private indicators of an individual driver and considering individual driving characteristics. The application of the method allows you to identify potentially dangerous driving styles that can prevent accidents.
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
Because of its spectral-spatial and temporal resolution of greater areas, hyperspectral imaging (HSI) has found widespread application in the field of object classification. The HSI is typically used to accurately determine an object's physical characteristics as well as to locate related objects with appropriate spectral fingerprints. As a result, the HSI has been extensively applied to object identification in several fields, including surveillance, agricultural monitoring, environmental research, and precision agriculture. However, because of their enormous size, objects require a lot of time to classify; for this reason, both spectral and spatial feature fusion have been completed. The existing classification strategy leads to increased misclassification, and the feature fusion method is unable to preserve semantic object inherent features; This study addresses the research difficulties by introducing a hybrid spectral-spatial fusion (HSSF) technique to minimize feature size while maintaining object intrinsic qualities; Lastly, a soft-margins kernel is proposed for multi-layer deep support vector machine (MLDSVM) to reduce misclassification. The standard Indian pines dataset is used for the experiment, and the outcome demonstrates that the HSSF-MLDSVM model performs substantially better in terms of accuracy and Kappa coefficient.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
2. ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 10, No. 3, June 2020 : 3057 - 3065
3058
of two cascaded loops. Usually, there is a fast internal current loop, which regulates the grid current,
and an external voltage loop, which controls the dc-link voltage. The current loop is responsible for power
quality issues and current protection; thus, harmonic compensation and dynamics are the important properties
of the current controller. The dc-link voltage controller is designed for balancing the power flow in
the system. Usually, the design of this controller aims for system stability having slow dynamics. The aim of
external controller is the dynamic system stability and the optimal regulation; so this voltage loop is designed
for a low stability time 5 to 20 times higher that the internal current loop. The internal and external loops can
be considered decoupling, therefore the transfer function of current control loop is not considered when it is
designed the voltage controller. In some works, the control of grid-side controller is based on a dc-link
voltage loop cascaded with an inner power loop instead of a current loop. In this way, the current injected
into the grid is indirectly controlled [11-15]. The generated pulse width modulation (PWM) is able to reduce
the magnitude of the low order of harmonic components present in the input AC supply.
Digital implementation provides improvements over their analog counterparts. They are immune to
noise and are less susceptible to voltage and temperature changes. Hence, an interest to digital
implementation has been noted. Using FPGA’s will provide flexibility and simplicity in modifying
the designed circuit without altering the hardware and rapid prototyping [16-23]. The objective of this work
is to improve the output power quality of grid connected PV inverters and lower equipment costs for these
systems. This will be achieved through H-bridge inverter and control. In this paper, description of the control
technique is presented and implemented in FPGA. The functional structure of this system, has been validate
with simulations and experimental results. The prototype has been realized.
2. CURRENT CONTROL TECHNIQUE
The power quality injected into the grid and the performance of the converter system depend on
the quality of the inverter current control, Figure 1. Generally, for lower installation of photovoltaic systems
connected to the grid, pulse width modulation (PWM) is a widely used technique for controlling the voltage
source inverters injects currents into the grid. The current injected must be sinusoidal with reduced harmonic
distortion. Moreover, a sinusoidal input current should be achieved with a total harmonic distortion (THD)
below 5% as suggests the international standard IEEE std 929-2000 [3] Table 1. Most of the control
strategies were made to control the current injected into the grid and power factor.
Figure1. Inverter current control
Table 1. Harmonics distorsion order
ODD HARMONIC DISTORTION LIMIT
3rd
through 9th
Less than 4.0%
11th
through 15th
Less than 2.0%
17th
through 21st
Less than 1.5%
23rd
through 33rd
Les than 0.6 %
The main objective of the current controller is to ensure that the output inverter current follow
carefully the reference current independently of the selected control technique. The current controller of
power converters can be a closed loop PWM, such as Hysteresis Current Control, linear PWM, predictive
controllers, optimized controllers, neural network and fuzzy logic controller systems [4]. In comparison to
Current control
L
DC/AC Vinv
Iout
Iout
Modulator
Vdc
Vdc
Vgrid
Vgrid
3. Int J Elec & Comp Eng ISSN: 2088-8708
Design and control technique for single phase bipolar H-bridge inverter … (Linda Hassaine)
3059
open loop. PWM techniques, have several considerable advantages, such as extremely good dynamics,
instantaneous peak current control and prevention of overload and pulse dropping problems [11]. Hysteresis
current control have a good stability, which is provided by maintaining current errors within the hysteresis
band. Figure 2 shows the different PWM control current methods. Linear current control uses PWM
modulation. In this control, as shown in Figure 3, the modulating signal is compared with the triangular
carrier coming from the output of a linear regulator, usually a proportional-integral PI regulator. In most
situations a sinusoidal output voltage is required. This may be achieved by modulating the pulse width of
each bridge leg using a sine wave reference. There are two common switching strategies, which are applied
to the H-Bridge inverter; these are Bipolar and Unipolar PWM switching.
Figure 2. Current control methods
Figure 3. Linear current control
3. PV SYSTEM CONNECTED TO THE GRID
Figure 4 show an electrical scheme of the single phase H-Bridge inverter connected to the grid.
The main specification of the inverter connected to the grid is that the current must be injected from a PV
panel with a power factor within a certain range [3]. DC/DC converter is employed to boost the PV-array
voltage to an appropriate level based on the magnitude of utility voltage, while the controller of the DC-DC
converter is designed to operate as a maximum power point tracker (MPPT) that increases the economical
feasibility of the PV system. A large variety of MPP tracking algorithms exists:look-up table, perturbation
and observation (P&O), incremental conductance etc. For the MPPT controller, the perturb-and-observe
method is adopted owing to its simple structure and the fact that it requires fewer measured parameters.
This strategy is implemented to operate under rapidly changing solar radiation in a power PV grid connected
System [24-25].
+
grid
I
Filter
Inverter
Iref
Vinv
PI
Vdc
PWM
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Figure 4. Grid connected photovoltaic inverter system
4. INVERTER CONTROL
The control structure that has been implemented for the single-phase inverter is shown in Figure 5.
The photovoltaic system consists in photovoltaic generator (PVG), a maximum power point tracking (MPPT)
and the inverter as shown in Figure 5. The control structure proposed for the single-phase inverter
corresponds to 2 control loops [12-15].
- An external control loop of the DC voltage is necessary to maintain the DC-bus voltage constant to
guarantee the correct function of the MPPT.
- An internal control loop of the current is designed to control the power injected into the grid.
This allows the output current control in instantaneous values. To impose a sinusoidal current, in phase
with the grid voltage, the reference current Iref, is generated from a sinusoidal reference, the amplitude is
regulated from the output of the external voltage loop.
The DC-bus voltage of the PV system is maintained constant such that active power balance
between the injecting solar energy and the system output power can be achieved. The DC-bus voltage Vdc,
can be fed back and compared with the desired value of Vdc(ref) while a PI regulator is added to regulate
the error between the desired voltage and the actual DC bus voltage, hence the reference current signal can be
obtained. The current regulator is employed to regulate the error between the desired current and actual
output current.One of the advantages provided by this control strategy is its simplicity as far as
the computational requirements of the control circuit.
Figure 5. Control structure of the inverter connected to the grid
This structure is associated with proportional integral controllers (PI). To improve the performance
of the PI controller in such a current control structure and to cancel the voltage ripples of photovoltaic
generator, due to variations in the instantaneous power flow through the photovoltaic system, will depend on
IPV
S1
D1
S2
D2
S3
D3
S4
D4
+
vPV
-
LPV
CG
SCPV
PV
iout
LO
+
vgrid
-
+
vG
-
DVPV
Boost
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one hand on the change of atmospheric conditions (mainly the irradiance and temperature), the faster
response of the boost control loop, the inverter and the value of the DC bus capacitor. On the other hand,
the output voltage is the mains voltage, represents an external disturbance of considerable magnitude at 50Hz
for the system, there exists a compensation of these effects at the output of the PI controller so as to calculate
directly the reference voltage for the inductance. Figure 6 shows the control loop of the inverter output
current. The inverter output current expression is given:
D V s V soutGPVI sout
Ls
(1)
Figure 6. Control loop structure of alternative output current
The feed-forward technique is based on including new terms to variables control, in this case
the duty cycle, in order to eliminate the dependence related to the perturbations of control system.
To compensate the effect of output voltage, is used the average and filtered output voltage values, called
Vout,mes, Figure 7. However, to compensate the voltage VGPV, it’s necessary to use, the measured value before
filtered. In this case, it’s required a duty cycle calculate since the transfers functions:
, ,
,
L ref out mes
out mes
v v
d
v
(2)
Ksv the same step of measured circuits, obtained:
,L ref sv out
sv GPV
v K v
d
K v
(3)
From the duty cycle, the inductance voltage VL
,L ref
L GPV s
sv
v
v dv v
K
(4)
The advantage of this control structure is the control of the instantaneous power injected into
the grid from the solar module and the synchronization of the current signal with the grid voltage (Voltage
and current in phase) which guarantee a higher power factor and improve the MPPT dynamic.
The disadvantage is the noise in the inverter output current signal due to the use of the grid signal sample to
generate and synchronize the reference current with the grid signal.
5. DIGITAL IMPLEMENTATION
The Digital Pulse-Width-Modulator (DPWM) converts the code in pulsating signal and generates
the driving signals of the switches (T1, T2, T3, T4). The synchronization of the voltage grid and the inverter
output current injected to the grid is assumed with the zero crossing detector (ZCD). This is accomplished by
generating a synchronism signal in each crossing by zero of the grid voltage. In Figure 7 is shown the digital
implementation of the bipolar PWM. The switching frequency is 10kH in order to reduce harmonics.
VL,ref
Compensations Converter
H (s)
R(s) VGPV
1 1
L s
Vout, mes
Iout
Controller
H (s)
V1
VGPV,mes
Iout,ref
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Figure 7. DPWM signals
6. SIMULATION RESULTS
The photovoltaic generator (PVG), the maximum power point (MPPT) and the single-phase inverter
DC/AC behavior have been modeled and simulated by PSIM. The simulation parameters used are: voltage
Vgrid 230 V, frequency 50 Hz, L = 4.7 mH, Vdc = 375 V and frequency modulation index mf = 200.
Simulation results of the photovoltaic system connected to the grid are presented .In Figure 8 (a), all results
signals of the input side of PV system connected to the grid can be seen. The DC bus, the output current of
PV module, the output current of the boost. Figure 8 (b), shows the simulation results of the inverter average
model closed loop, the inverter output current, Iout in phase with the grid voltage Vgrid and the inverter
output voltage.
(a)
Figure 8. Output signals of PV system, (a) Inverter output current Iout, grid voltage Vgrid
Vsin……
T1…..
T4…..
T2…..
.
T3…..
Vtri…….
Clk….
Dir….
Vsin……
T1…..
T4…..
T2…..
.
T3…..
Vtri…….
Clk….
Dir….
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(b)
Figure 8. Output signals of PV system (b) inverter output voltage (continue)
7. EXPERIMENTAL RESULT
Figure 9 shows a prototype of single-phase inverter with the digital control implemented in a FPGA
platform (Spartan-3 of Xilinx) realized and tested. Vgrid = 230 V, and coupling inductance L = 20 mH.
Figure 10(a) shows the PWM switching signals, inverter output current Iout and grid voltage Vout. Figure 10(b)
shows Inverter output current Iout and inverter output voltage Vinv (b).
Figure 9. Single-phase inverter prototype
Vgrid Vin
Iout
Time (s)
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(a)
(b)
Figure 10. PWM signal, (a) inverter output current Iout and grid voltage Vout,
(b) Inverter output current Iout and inverter output voltage Vinv
8. CONCLUSION
The paper has focused on the design and implementation of the control technique of PV inverter
connected to the grid. This control is based on H-Bridge inverter controlled by digital pulse-width
modulation (DSPWM) which can synchronise a sinusoidal current output with a grid voltage and control
a power factor. The simulation results validate the theoretical predictions and demonstrate the viability of
the proposed control. The experimental results show the viability of the bipolaire DSPWM method proposed,
the simplicity of the digital implementation. The technique confirm that the control can be applied to control
the power and the current injected into the grid. Using Xilinx FPGA to generate PWM provides flexibility to
modify the designed circuit without altering the hardware part. This system can improve the power quality
output of grid connected PV inverters and lower equipment costs for these systems.
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