International Journal of Renewable Energy Research, 2017
This paper proposes an integrated Cuk-SEPIC converter for standalone hybrid wind and photo voltai... more This paper proposes an integrated Cuk-SEPIC converter for standalone hybrid wind and photo voltaic (PV) system. The proposed converter is developed by sharing the converter components between Cuk and SEPIC converters and it operates in both individual and simultaneous modes, based on the availability of source and eliminates the need of input filter to suppress the high frequency harmonics. Therefore, it has the advantage of simple structure and reduced converter components. The proposed converter is designed and then analyzed for the hybrid wind and PV system. This study considers a 1.8 KW wind system and a 2 KW PV system with maximum power point tracking (MPPT) algorithms of incremental conductance plus integral control and perturbs & observes methods for wind and PV system respectively. The effectiveness of the proposed converter is validated using the simulation results and usage of the converter based on availability of the renewable energy sources is presented.
A modified high voltage gain dc-dc converter with improved efficiency has been proposed in this a... more A modified high voltage gain dc-dc converter with improved efficiency has been proposed in this article for PV based applications. In the proposed methodology, converter is integrated with a switched capacitor and a switched coupled inductor. This converter topology provides high voltage gain with fewer components. The efficient power conversion has been achieved with low switching voltage across the semiconductor devices. The working principle and analysis of the converter is described in this article. The converter design is made for 250-W power rating system. Performance of the proposed converter is analysed and validated the efficiency at various loading conditions.
This paper analyses the modelling and control of the grid connected wind energy conversion system... more This paper analyses the modelling and control of the grid connected wind energy conversion system (WECS). The required power for grid connected load is effectively supplied by the proposed wind turbine, permanent magnet. And at the grid connected voltage source inverter utilizes a simple FLC with hysteresis current controller (HCC), which suits well for variable speed operation of a wind turbine with direct driven PMSG. Detailed modelling and controller strategies of overall system performance during the transient and dynamic conditions of the proposed system are analyzed to show the effectiveness of the controller strategies. The simulations have been done using MATLAB/Simulink.
Renewable energy technique is gaining more interest due to increasing demand and threat zero carb... more Renewable energy technique is gaining more interest due to increasing demand and threat zero carbon foot prints. The energy from wind has a high potential as a source of energy. The growing demand of wind energy tends to produce a quality output power in terms of grid integration. An appropriate controller is required to control the power produce by the wind energy. A decent number of research publications reports had reviewed maximum power point tracking (MPPT), grid side controller (GSC) and machine side controller (MSC) associated with wind energy conversion system (WECS). However survey on pitch angle based control has not been focused exclusively in any such reviews. A concise review of pitch angle controller, maximum power extraction control and grid synchronisation controller is analysed in this paper. Thus, this paper presents a comprehensive review of overall control strategies for wind energy conversion control. The review paper is intended to provide a suitable reference for further research in the field of wind energy.
In recent years, power quality has become the main concern in power system engineering. Classific... more In recent years, power quality has become the main concern in power system engineering. Classification of power system faults is the first stage for improving power quality and ensuring the system protection. For this purpose a robust classifier is necessary. In this paper, classification of power system faults using Empirical Mode Decomposition (EMD) and Support Vector Machines (SVMs) is proposed. EMD is used for decomposing voltages of transmission line into Intrinsic Mode Functions (IMFs). Hilbert Huang Transform (HHT) is used for extracting characteristic features from IMFs. A multiple SVM model is introduced for classifying the fault condition among ten power system faults. Algorithm is validated using MATLAB/SIMULINK environment. Results demonstrate that the combination of EMD and SVM can be an efficient classifier with acceptable levels of accuracy.
In this paper a new hybrid forecast method composed of wavelet transform and neural network is pr... more In this paper a new hybrid forecast method composed of wavelet transform and neural network is proposed to forecast the wind speed more accurately. In the field of wind energy research, accurate forecast of wind speed is a challenging task. This will influence the power system scheduling and the dynamic control of wind turbine. The wind data used here is measured at 15 minute time intervals. The performance is evaluated based on the metrics, namely, mean square error, mean absolute error, sum squared error of the proposed model and compared with the back propagation model. Simulation studies are carried out and it is reported that the proposed model outperforms the compared model based on the metrics used and conclusions were drawn appropriately.
In this paper, a radial basis function network-based single maximum power point tracking (MPPT) c... more In this paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller.
High Response Photon-Counting for phase fraction measurement using Compact RIO with FPGA
This paper presents the measurement of phase fraction of multiphase using LabVIEW/FPGA&RT. Phase ... more This paper presents the measurement of phase fraction of multiphase using LabVIEW/FPGA&RT. Phase fraction measurement is done by high frequency Gamma-ray photons attenuation from multiple scintillation detectors without dead time between dwell intervals. This phase fraction measurement method is based on the differences in the linear or mass attenuation coefficient of components of each phase to light. The electromagnetic wave attenuation based on Beer-Lambert’s law gives the width of individual phases. Even though this method requires shielding, it has the advantages of penetrating through steel. Other phase fraction methods include differences in the permittivity of the components of phases. The voltage across the two electrodes kept opposite to each other determines the phase fraction. But, it has the disadvantages of requirements of special shielding for low capacitance and stray capacitance. Besides, the differences in the conductivity can measure the path resistance. This conductivity change gives phase fraction. Among the above volume –percentage measurement methods, former method is more accurate for industrial applications.
Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System
This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro fuzzy infere... more This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro fuzzy inference system (ANFIS) based maximum power point tracking to track the optimum maximum power from PV system. This article also point out the performance of the boost converter and modified Single Ended Primary Inductor Converter (SEPIC) using above two techniques for PV. P&O and ANFIS techniques are used to generate duty cycle of DC/DC converters. The study is performed by using MATLAB/Simulink with the rating of 200 W PV and it has been observed that the modified SEPIC converter based ANFIS produces superior results compared with classical boost converter.
Comparison between PI controller & Fuzzy logic based control strategies for harmonic reduction in Grid integrated Wind energy conversion system
In this paper, a novel fuzzy logic based control (FLC) strategy is developed to perform multi-fun... more In this paper, a novel fuzzy logic based control (FLC) strategy is developed to perform multi-function strategy for smooth and controlled operation of three phase renewable energy system (RES) based wind energy conversion system (WECS) with grid integration. The inverter acts as an power converter to inject the power obtain from the wind energy and active power filter to compensate unbalance load current harmonics and reactive power demand. The control strategies in accordance with 3 phase 4 wire unbalanced load tend to appear as a balanced linear load system at grid. The control strategy is developed and validated using MATLAB/Simulink. The proposed controller is compared with PI based controller and validate that the proposed FLC provide FLC provide better efficiency by reducing harmonics. Add full-text Add to project Add
Fuzzy logic based pitch angle controller for permanent magnet synchronous generator wind energy conversion system
A comparative analysis of different types pitch angle controller is designed in this paper to ach... more A comparative analysis of different types pitch angle controller is designed in this paper to achieve a steady output torque for stable wind turbine operation. The control techniques are implemented and developed to provide a uniform constant torque to the permanent magnet synchronous generator (PMSG). The wind system consists of a wind turbine, a pitch actuator and PMSG. The control strategy used are Proportional- Integral (PI) and Fuzzy logic controller (FLC). The performance of the control strategies are investigated in terms of aerodynamic torque, generator speed and the generator power. The complete wind energy conversion system (WECS) is developed and tested using MATLAB/Simulink. The performance of the control strategies are evaluated under varying wind speed condition. The performance of the pitch angle controllers are found satisfactory, but the strategy with fuzzy logic based controller shows better performance as compared to PI controller.
A Novel Single Phase Six Switch AC/DC/AC Converter for Wind Energy System applications
In this paper a single phase six switch AC/DC/AC power converter is proposed for wind energy syst... more In this paper a single phase six switch AC/DC/AC power converter is proposed for wind energy system application. The proposed converter consists of two arms with three switches in each, where the top layer switches are used for the rectification mode and lower layer switches are used for the inversion mode of operation. The middle layer switches are shared by the both AC/DC rectification and DC/AC inversion mode operation based on the modified PWM scheme. A small rated DC link capacitor is chosen by providing suitable coordination control and Ex-OR gate logic between the rectification and inversion mode of operation. The proposed six switch converter has the advantage of both reduced no. of switches and small DC link capacitor size. Simulation results are presented to validate the effectiveness of the converter for 1KW wind energy system.
A Review on GRID CODES - Reactive power management in power grids for Doubly-Fed Induction Generator in Wind Power application
ABSTRACT: Now a day’s Electrical energy has become one of the important daily needs in human life... more ABSTRACT: Now a day’s Electrical energy has become one of the important daily needs in human life. It is not only used in the house hold appliances but it is also used in the Industrial applications such as transportation purposes, Industry’s etc; Now the total entire world power sale corporations looks at the free cost of fuel power like wind energy which is available at all the times comparatively with remain all the sources. The conversion of wind energy into electrical energy has instable voltage due to short distortions and long distortions in the availability of winds which addresses the increase in the demand of reactive power to the power grid. This paper presents a Grid codes that decides cheap cost of coordinated reactive power management scheme with TCR+FC based excitation framework for doubly-Fed induction generator (DFIG) utilized as a part of wind energy. The rotor-side converter, the grid side converter, the dc link capacitor and TCR+FC devices which can deal with the dynamic currents exchange with the rotor of DFIG and the voltage network freely. Using the normal for high productive vitality stockpiling and speedy reaction of dynamic var devices can be used to level the wind power variance, mitigate the impact on voltage quality, enhance fault ride-through capability and current issues in the reactive power management.
Neural networks have been an increasingly growing field since the past 50
years, both in terms of... more Neural networks have been an increasingly growing field since the past 50 years, both in terms of research and implementation. There have been numerous applications in industrial automation, medicine, computers, consumer appliances, electronic gadgets, etc., which have had a significant impact by changing the previously used conventional technologies. Neural networks have redefined the way machines are designed to function more accurately, and more adaptively. In this paper, we design and analyze few of the popular neural network algorithms for their application in a fire detection system, and implemented for the application, which makes the system “intelligent”. The algorithms are designed based on sample inputs from the sensors; they are trained and then analyzed on standard performance metrics.
This paper includes the design and analysis of a fractional order PID controller which mainly use... more This paper includes the design and analysis of a fractional order PID controller which mainly used in science and engineering. It is a type of PID controller in which the order of derivative and integral are fractional rather than integer number. Fractional pid controller consist of five parameters kp,ki,kd,λ and μ. The comparison between ordinary PID controller and controller are done and the characteristics are studied in detail. For optimization of fractional pid parameters different algorithms can be used they are PSO(Particle Swarm Optimization)algorithm, nelder-mead algorithm, ABC(artificial bee colony algorithm),GA(genetic algorithm). This paper illustrates Nelder-Mead algorithm and ABC algorithm are applied for the optimization of parameters. Different performance indices like IAE(integral absolute error),ISE(integral square error),ITAE(integral of time weighted absolute error) are considered. The simulation and analysis of closed loop system is described
The solar pv based power generation system shows
tremendous growth in the present scenario when c... more The solar pv based power generation system shows tremendous growth in the present scenario when compared to other renewable energy based power generation. The focus of researchers in this area was increased in recent years. The output voltage in solar cell is of low range and to improve that DC/DC converters are used. This paper focuses to design and analyze the performance of boost and SEPIC DC/DC converter, used in MPPT based PV system. Perturb and Observe (P&O) technique used to generate duty cycle of converters under different irradiance changing condition. The study is performed using MATLAB/Simulink for the PV system and it has been observed that the SEPIC produces better results compared with boost converter.
Power quality is the major concern in grid connected power systems, which will be effected when w... more Power quality is the major concern in grid connected power systems, which will be effected when wind energy conversion system (WECS) is connected. The effects of power quality issues are the active power, reactive power, and variations of voltage, current, frequency and switching operations. By proper compensation of the reactive power through a FACTS device, known as STATCOM, the power can be effectively transmitted and can meet the demand. This paper describes the modeling of STATCOM along with the design of controllers, even though the STATCOM is a nonlinear device due to its complexity in mathematical modeling, design of controllers for the converters is done by linear method. The designed controllers with variation of DC link voltage for WECS have been applied to the compensator. The design methodology and the simulation results are presented.
Wind power production has been under the main focus for the past decade in power production and t... more Wind power production has been under the main focus for the past decade in power production and tremendous amount of research work is going on renewable energy, specifically on wind power extraction. Wind power provides an ecofriendly power generation and helps to meet the national energy demand when there is a diminishing trend in terms of non-renewable resources. This paper reviews the modeling of Wind Energy Conversion Systems (WECS), control strategies of controllers and various Maximum Power Point Tracking (MPPT) technologies that are being proposed for efficient production of wind energy from the available resource.
International Journal of Renewable Energy Research, 2017
This paper proposes an integrated Cuk-SEPIC converter for standalone hybrid wind and photo voltai... more This paper proposes an integrated Cuk-SEPIC converter for standalone hybrid wind and photo voltaic (PV) system. The proposed converter is developed by sharing the converter components between Cuk and SEPIC converters and it operates in both individual and simultaneous modes, based on the availability of source and eliminates the need of input filter to suppress the high frequency harmonics. Therefore, it has the advantage of simple structure and reduced converter components. The proposed converter is designed and then analyzed for the hybrid wind and PV system. This study considers a 1.8 KW wind system and a 2 KW PV system with maximum power point tracking (MPPT) algorithms of incremental conductance plus integral control and perturbs & observes methods for wind and PV system respectively. The effectiveness of the proposed converter is validated using the simulation results and usage of the converter based on availability of the renewable energy sources is presented.
A modified high voltage gain dc-dc converter with improved efficiency has been proposed in this a... more A modified high voltage gain dc-dc converter with improved efficiency has been proposed in this article for PV based applications. In the proposed methodology, converter is integrated with a switched capacitor and a switched coupled inductor. This converter topology provides high voltage gain with fewer components. The efficient power conversion has been achieved with low switching voltage across the semiconductor devices. The working principle and analysis of the converter is described in this article. The converter design is made for 250-W power rating system. Performance of the proposed converter is analysed and validated the efficiency at various loading conditions.
This paper analyses the modelling and control of the grid connected wind energy conversion system... more This paper analyses the modelling and control of the grid connected wind energy conversion system (WECS). The required power for grid connected load is effectively supplied by the proposed wind turbine, permanent magnet. And at the grid connected voltage source inverter utilizes a simple FLC with hysteresis current controller (HCC), which suits well for variable speed operation of a wind turbine with direct driven PMSG. Detailed modelling and controller strategies of overall system performance during the transient and dynamic conditions of the proposed system are analyzed to show the effectiveness of the controller strategies. The simulations have been done using MATLAB/Simulink.
Renewable energy technique is gaining more interest due to increasing demand and threat zero carb... more Renewable energy technique is gaining more interest due to increasing demand and threat zero carbon foot prints. The energy from wind has a high potential as a source of energy. The growing demand of wind energy tends to produce a quality output power in terms of grid integration. An appropriate controller is required to control the power produce by the wind energy. A decent number of research publications reports had reviewed maximum power point tracking (MPPT), grid side controller (GSC) and machine side controller (MSC) associated with wind energy conversion system (WECS). However survey on pitch angle based control has not been focused exclusively in any such reviews. A concise review of pitch angle controller, maximum power extraction control and grid synchronisation controller is analysed in this paper. Thus, this paper presents a comprehensive review of overall control strategies for wind energy conversion control. The review paper is intended to provide a suitable reference for further research in the field of wind energy.
In recent years, power quality has become the main concern in power system engineering. Classific... more In recent years, power quality has become the main concern in power system engineering. Classification of power system faults is the first stage for improving power quality and ensuring the system protection. For this purpose a robust classifier is necessary. In this paper, classification of power system faults using Empirical Mode Decomposition (EMD) and Support Vector Machines (SVMs) is proposed. EMD is used for decomposing voltages of transmission line into Intrinsic Mode Functions (IMFs). Hilbert Huang Transform (HHT) is used for extracting characteristic features from IMFs. A multiple SVM model is introduced for classifying the fault condition among ten power system faults. Algorithm is validated using MATLAB/SIMULINK environment. Results demonstrate that the combination of EMD and SVM can be an efficient classifier with acceptable levels of accuracy.
In this paper a new hybrid forecast method composed of wavelet transform and neural network is pr... more In this paper a new hybrid forecast method composed of wavelet transform and neural network is proposed to forecast the wind speed more accurately. In the field of wind energy research, accurate forecast of wind speed is a challenging task. This will influence the power system scheduling and the dynamic control of wind turbine. The wind data used here is measured at 15 minute time intervals. The performance is evaluated based on the metrics, namely, mean square error, mean absolute error, sum squared error of the proposed model and compared with the back propagation model. Simulation studies are carried out and it is reported that the proposed model outperforms the compared model based on the metrics used and conclusions were drawn appropriately.
In this paper, a radial basis function network-based single maximum power point tracking (MPPT) c... more In this paper, a radial basis function network-based single maximum power point tracking (MPPT) control algorithm for a hybrid solar and wind energy system is designed and analyzed for standalone and grid connected applications. The extraction of maximum power from the intermittent and erratic nature renewable energy sources is the main target in the hybrid renewable energy system. In the literature, many researchers developed an individual MPPT control algorithm for solar and wind energy system, which in turn increases the number of control algorithms in a hybrid system. In this paper, a single MPPT controller is proposed to extract maximum power from both the sources simultaneously. The performance of the proposed MPPT control algorithm is analyzed in both standalone and grid connected modes, under different weather conditions. The hybrid renewable energy system is designed by considering 560-W photovoltaic system and 500-W wind system with the conventional boost converter, and it is simulated in MATLAB/Simulink environment to analyze the performance of the proposed MPPT controller.
High Response Photon-Counting for phase fraction measurement using Compact RIO with FPGA
This paper presents the measurement of phase fraction of multiphase using LabVIEW/FPGA&RT. Phase ... more This paper presents the measurement of phase fraction of multiphase using LabVIEW/FPGA&RT. Phase fraction measurement is done by high frequency Gamma-ray photons attenuation from multiple scintillation detectors without dead time between dwell intervals. This phase fraction measurement method is based on the differences in the linear or mass attenuation coefficient of components of each phase to light. The electromagnetic wave attenuation based on Beer-Lambert’s law gives the width of individual phases. Even though this method requires shielding, it has the advantages of penetrating through steel. Other phase fraction methods include differences in the permittivity of the components of phases. The voltage across the two electrodes kept opposite to each other determines the phase fraction. But, it has the disadvantages of requirements of special shielding for low capacitance and stray capacitance. Besides, the differences in the conductivity can measure the path resistance. This conductivity change gives phase fraction. Among the above volume –percentage measurement methods, former method is more accurate for industrial applications.
Comparative Analysis of DC/DC Converters with MPPT Techniques Based PV System
This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro fuzzy infere... more This paper focuses on the comparison of perturb and observe (P&O) and adaptive neuro fuzzy inference system (ANFIS) based maximum power point tracking to track the optimum maximum power from PV system. This article also point out the performance of the boost converter and modified Single Ended Primary Inductor Converter (SEPIC) using above two techniques for PV. P&O and ANFIS techniques are used to generate duty cycle of DC/DC converters. The study is performed by using MATLAB/Simulink with the rating of 200 W PV and it has been observed that the modified SEPIC converter based ANFIS produces superior results compared with classical boost converter.
Comparison between PI controller & Fuzzy logic based control strategies for harmonic reduction in Grid integrated Wind energy conversion system
In this paper, a novel fuzzy logic based control (FLC) strategy is developed to perform multi-fun... more In this paper, a novel fuzzy logic based control (FLC) strategy is developed to perform multi-function strategy for smooth and controlled operation of three phase renewable energy system (RES) based wind energy conversion system (WECS) with grid integration. The inverter acts as an power converter to inject the power obtain from the wind energy and active power filter to compensate unbalance load current harmonics and reactive power demand. The control strategies in accordance with 3 phase 4 wire unbalanced load tend to appear as a balanced linear load system at grid. The control strategy is developed and validated using MATLAB/Simulink. The proposed controller is compared with PI based controller and validate that the proposed FLC provide FLC provide better efficiency by reducing harmonics. Add full-text Add to project Add
Fuzzy logic based pitch angle controller for permanent magnet synchronous generator wind energy conversion system
A comparative analysis of different types pitch angle controller is designed in this paper to ach... more A comparative analysis of different types pitch angle controller is designed in this paper to achieve a steady output torque for stable wind turbine operation. The control techniques are implemented and developed to provide a uniform constant torque to the permanent magnet synchronous generator (PMSG). The wind system consists of a wind turbine, a pitch actuator and PMSG. The control strategy used are Proportional- Integral (PI) and Fuzzy logic controller (FLC). The performance of the control strategies are investigated in terms of aerodynamic torque, generator speed and the generator power. The complete wind energy conversion system (WECS) is developed and tested using MATLAB/Simulink. The performance of the control strategies are evaluated under varying wind speed condition. The performance of the pitch angle controllers are found satisfactory, but the strategy with fuzzy logic based controller shows better performance as compared to PI controller.
A Novel Single Phase Six Switch AC/DC/AC Converter for Wind Energy System applications
In this paper a single phase six switch AC/DC/AC power converter is proposed for wind energy syst... more In this paper a single phase six switch AC/DC/AC power converter is proposed for wind energy system application. The proposed converter consists of two arms with three switches in each, where the top layer switches are used for the rectification mode and lower layer switches are used for the inversion mode of operation. The middle layer switches are shared by the both AC/DC rectification and DC/AC inversion mode operation based on the modified PWM scheme. A small rated DC link capacitor is chosen by providing suitable coordination control and Ex-OR gate logic between the rectification and inversion mode of operation. The proposed six switch converter has the advantage of both reduced no. of switches and small DC link capacitor size. Simulation results are presented to validate the effectiveness of the converter for 1KW wind energy system.
A Review on GRID CODES - Reactive power management in power grids for Doubly-Fed Induction Generator in Wind Power application
ABSTRACT: Now a day’s Electrical energy has become one of the important daily needs in human life... more ABSTRACT: Now a day’s Electrical energy has become one of the important daily needs in human life. It is not only used in the house hold appliances but it is also used in the Industrial applications such as transportation purposes, Industry’s etc; Now the total entire world power sale corporations looks at the free cost of fuel power like wind energy which is available at all the times comparatively with remain all the sources. The conversion of wind energy into electrical energy has instable voltage due to short distortions and long distortions in the availability of winds which addresses the increase in the demand of reactive power to the power grid. This paper presents a Grid codes that decides cheap cost of coordinated reactive power management scheme with TCR+FC based excitation framework for doubly-Fed induction generator (DFIG) utilized as a part of wind energy. The rotor-side converter, the grid side converter, the dc link capacitor and TCR+FC devices which can deal with the dynamic currents exchange with the rotor of DFIG and the voltage network freely. Using the normal for high productive vitality stockpiling and speedy reaction of dynamic var devices can be used to level the wind power variance, mitigate the impact on voltage quality, enhance fault ride-through capability and current issues in the reactive power management.
Neural networks have been an increasingly growing field since the past 50
years, both in terms of... more Neural networks have been an increasingly growing field since the past 50 years, both in terms of research and implementation. There have been numerous applications in industrial automation, medicine, computers, consumer appliances, electronic gadgets, etc., which have had a significant impact by changing the previously used conventional technologies. Neural networks have redefined the way machines are designed to function more accurately, and more adaptively. In this paper, we design and analyze few of the popular neural network algorithms for their application in a fire detection system, and implemented for the application, which makes the system “intelligent”. The algorithms are designed based on sample inputs from the sensors; they are trained and then analyzed on standard performance metrics.
This paper includes the design and analysis of a fractional order PID controller which mainly use... more This paper includes the design and analysis of a fractional order PID controller which mainly used in science and engineering. It is a type of PID controller in which the order of derivative and integral are fractional rather than integer number. Fractional pid controller consist of five parameters kp,ki,kd,λ and μ. The comparison between ordinary PID controller and controller are done and the characteristics are studied in detail. For optimization of fractional pid parameters different algorithms can be used they are PSO(Particle Swarm Optimization)algorithm, nelder-mead algorithm, ABC(artificial bee colony algorithm),GA(genetic algorithm). This paper illustrates Nelder-Mead algorithm and ABC algorithm are applied for the optimization of parameters. Different performance indices like IAE(integral absolute error),ISE(integral square error),ITAE(integral of time weighted absolute error) are considered. The simulation and analysis of closed loop system is described
The solar pv based power generation system shows
tremendous growth in the present scenario when c... more The solar pv based power generation system shows tremendous growth in the present scenario when compared to other renewable energy based power generation. The focus of researchers in this area was increased in recent years. The output voltage in solar cell is of low range and to improve that DC/DC converters are used. This paper focuses to design and analyze the performance of boost and SEPIC DC/DC converter, used in MPPT based PV system. Perturb and Observe (P&O) technique used to generate duty cycle of converters under different irradiance changing condition. The study is performed using MATLAB/Simulink for the PV system and it has been observed that the SEPIC produces better results compared with boost converter.
Power quality is the major concern in grid connected power systems, which will be effected when w... more Power quality is the major concern in grid connected power systems, which will be effected when wind energy conversion system (WECS) is connected. The effects of power quality issues are the active power, reactive power, and variations of voltage, current, frequency and switching operations. By proper compensation of the reactive power through a FACTS device, known as STATCOM, the power can be effectively transmitted and can meet the demand. This paper describes the modeling of STATCOM along with the design of controllers, even though the STATCOM is a nonlinear device due to its complexity in mathematical modeling, design of controllers for the converters is done by linear method. The designed controllers with variation of DC link voltage for WECS have been applied to the compensator. The design methodology and the simulation results are presented.
Wind power production has been under the main focus for the past decade in power production and t... more Wind power production has been under the main focus for the past decade in power production and tremendous amount of research work is going on renewable energy, specifically on wind power extraction. Wind power provides an ecofriendly power generation and helps to meet the national energy demand when there is a diminishing trend in terms of non-renewable resources. This paper reviews the modeling of Wind Energy Conversion Systems (WECS), control strategies of controllers and various Maximum Power Point Tracking (MPPT) technologies that are being proposed for efficient production of wind energy from the available resource.
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Papers by Ramesh Babu N
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years, both in terms of research and implementation. There have been
numerous applications in industrial automation, medicine, computers,
consumer appliances, electronic gadgets, etc., which have had a significant
impact by changing the previously used conventional technologies. Neural
networks have redefined the way machines are designed to function more
accurately, and more adaptively. In this paper, we design and analyze few of
the popular neural network algorithms for their application in a fire detection
system, and implemented for the application, which makes the system
“intelligent”. The algorithms are designed based on sample inputs from the
sensors; they are trained and then analyzed on standard performance metrics.
ABC(artificial bee colony algorithm),GA(genetic algorithm). This paper illustrates Nelder-Mead algorithm and ABC algorithm are applied for the optimization of parameters. Different performance indices like IAE(integral absolute error),ISE(integral square error),ITAE(integral of time weighted absolute error) are considered. The simulation and analysis of closed loop system is described
tremendous growth in the present scenario when compared to
other renewable energy based power generation. The focus of
researchers in this area was increased in recent years. The
output voltage in solar cell is of low range and to improve that
DC/DC converters are used. This paper focuses to design and
analyze the performance of boost and SEPIC DC/DC
converter, used in MPPT based PV system. Perturb and
Observe (P&O) technique used to generate duty cycle of
converters under different irradiance changing condition. The
study is performed using MATLAB/Simulink for the PV
system and it has been observed that the SEPIC produces
better results compared with boost converter.
Add full-text Add to project Add
years, both in terms of research and implementation. There have been
numerous applications in industrial automation, medicine, computers,
consumer appliances, electronic gadgets, etc., which have had a significant
impact by changing the previously used conventional technologies. Neural
networks have redefined the way machines are designed to function more
accurately, and more adaptively. In this paper, we design and analyze few of
the popular neural network algorithms for their application in a fire detection
system, and implemented for the application, which makes the system
“intelligent”. The algorithms are designed based on sample inputs from the
sensors; they are trained and then analyzed on standard performance metrics.
ABC(artificial bee colony algorithm),GA(genetic algorithm). This paper illustrates Nelder-Mead algorithm and ABC algorithm are applied for the optimization of parameters. Different performance indices like IAE(integral absolute error),ISE(integral square error),ITAE(integral of time weighted absolute error) are considered. The simulation and analysis of closed loop system is described
tremendous growth in the present scenario when compared to
other renewable energy based power generation. The focus of
researchers in this area was increased in recent years. The
output voltage in solar cell is of low range and to improve that
DC/DC converters are used. This paper focuses to design and
analyze the performance of boost and SEPIC DC/DC
converter, used in MPPT based PV system. Perturb and
Observe (P&O) technique used to generate duty cycle of
converters under different irradiance changing condition. The
study is performed using MATLAB/Simulink for the PV
system and it has been observed that the SEPIC produces
better results compared with boost converter.