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Gaurav Gangil

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University Politehnica of Bucharest

Centro de Investigacion y Estudios Avanzados del IPN

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Papers by Gaurav Gangil

Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm

The recent multi-objective optimization problems are very complex which require an effective and ... more The recent multi-objective optimization problems are very complex which require an effective and robust evolutionary method for obtaining a global Pareto-optimal solutions. Most of these multi-objective evolutionary techniques are population-based methods which usually work on random search approaches and often trapped into local minima during their execution. A new fuzzy tuned mayfly algorithm (FTMA) is presented in this paper, to obtain the Pareto-optimal solutions for any complex multi-objective power system problem. It has a selfadapting global exploration capability to get the best Pareto-optimal solutions by varying two crucial parameters i.e., crossover (P c ) and mutation (P m ) probabilities. Moreover, a model of Pareto-dominance is employed to rank non-dominating solutions to maintain the diversity within the populations. The proposed evolutionary approach is examined on a standard ZDT benchmark test suite and its algorithmic performance is statistically compared with a few of the recent optimization techniques such as NSGA-II, NSGA-III, MMODE, MOAVOA and MMA algorithm. It is further applied to minimize two distinct objective functions (i.e., total transmission loss and voltage stability index) for IEEE-118 bus system and IEEE-24 bus RTS. A comprehensive statistical analysis is presented for the obtained numerical results, which proves that proposed FTMA has better convergence with better solution diversity in comparison to the other competing algorithms. A comprehensive analysis based on statistical results reveal that the proposed FTMA is superior for obtaining better non-dominating pareto-fronts as compared to other competing methods.

A Review on Uncertainty Modelling Approaches for Stochastic Optimization in Power System

Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm

Expert systems with applications, Sep 1, 2024

The recent multi-objective optimization problems are very complex which require an effective and ... more The recent multi-objective optimization problems are very complex which require an effective and robust evolutionary method for obtaining a global Pareto-optimal solutions. Most of these multi-objective evolutionary techniques are population-based methods which usually work on random search approaches and often trapped into local minima during their execution. A new fuzzy tuned mayfly algorithm (FTMA) is presented in this paper, to obtain the Pareto-optimal solutions for any complex multi-objective power system problem. It has a selfadapting global exploration capability to get the best Pareto-optimal solutions by varying two crucial parameters i.e., crossover (P c ) and mutation (P m ) probabilities. Moreover, a model of Pareto-dominance is employed to rank non-dominating solutions to maintain the diversity within the populations. The proposed evolutionary approach is examined on a standard ZDT benchmark test suite and its algorithmic performance is statistically compared with a few of the recent optimization techniques such as NSGA-II, NSGA-III, MMODE, MOAVOA and MMA algorithm. It is further applied to minimize two distinct objective functions (i.e., total transmission loss and voltage stability index) for IEEE-118 bus system and IEEE-24 bus RTS. A comprehensive statistical analysis is presented for the obtained numerical results, which proves that proposed FTMA has better convergence with better solution diversity in comparison to the other competing algorithms. A comprehensive analysis based on statistical results reveal that the proposed FTMA is superior for obtaining better non-dominating pareto-fronts as compared to other competing methods.

Multi-Objective Optimization of Reactive Power Dispatch Problem Using Fuzzy Tuned Mayfly Algorithm

A Wild Horse Optimization Approach for Reactive Power Dispatch (ORPD) Problem

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

In the present scenario, the ORPD problem is essential issues for secure and reliable power syste... more In the present scenario, the ORPD problem is essential issues for secure and reliable power system operation. ORPD is a subpart of OPF problem. This paper proposes Wild Horse Optimizer (WHO) for solving the non-linear constrained optimization problem which is ORPD problem. Reactive power dispatch problem's primary aim is to minimize the transmission power losses in the system while meeting active and reactive power restrictions. The reactive power dispatch issue for the IEEE-118 bus system is addressed in this paper. The optimization is done using WHO by updating the stallion value after each iteration. The obtained results are then compared with well-established optimization approaches such as PSO, GA, Multi-Agent-PSO (MAPSO). Simulation is carried out in MATLAB integrating with MATPOWER software, for load flow analysis. The amount of processing time, the amount of Active and Reactive power saved, and performance comparisons have all been compared. According to the simulation results, the suggested method converges more quickly than other algorithms, exhibits higher performance when compared to others, and is very effective for reactive power dispatch issues.

Advanced Security Algorithm for Power Grid

2013 International Conference on Communication Systems and Network Technologies, 2013

Power grid is the most involved human-made system. Designing energy efficient security protocol f... more Power grid is the most involved human-made system. Designing energy efficient security protocol first requires an understanding of and data related to the energy consumption of common encryption schemes. Providing time-synchronized data of power system operating states, WAMS will play a vital role in next generation smart grid protection and control. WAMS helps efficient energy transmission as well as reliable and optimal grid management. Security algorithms for power grid need to consider both performance and energy efficiency through code optimization techniques on encryption and decryption. In this paper, we take power nodes (sites) as platforms to experimentally study ways of energy consumptions in different security algorithms. First, we measure energy consumptions of various security algorithms on Cross Bow and Ember sensor nodes. Second, we propose an array of novel code optimization methods to increase energy consumption efficiency of different security algorithms. And then, we compare the results of first experiments (AES) and RC4, two energy efficient symmetric key algorithms that are commonly suggested or used in WLANs. Our results show that RC4 is more suitable for large packets and AES for small packets. Finally, based on careful analysis of measurement results.

Simulation of Solar-Grid Charging of Electric Vehicle using PI Controller

Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissi... more Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissions. Overloading of the electric grid system and the lack of sufficient charging stations are the two most pressing issues in the electric vehicle industry. The application of solar energy to power the vehicle is the main emphasis of this research. The engine of a solarpowered electric vehicle is powered by the energy stored in the battery, allowing the vehicle to go in any direction. The capacity of a solar panel is evaluated and an electric vehicle charging calculation for one unit is performed. Another key barrier for electric vehicles is the type of converter, battery, and controller necessary to regulate battery charge. This study is divided into three sections: first, modelling the required parameters for an electric car, then simulating the model in MATLAB, and finally, explaining the findings of the evaluation and simulation. In the current study, a PI controller is employed to control the solar/grid charging. The efficacy of the proposed method is validated through simulation model of PI controller.

Simulation of Solar-Grid Charging of Electric Vehicle using PI Controller

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)

Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissi... more Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissions. Overloading of the electric grid system and the lack of sufficient charging stations are the two most pressing issues in the electric vehicle industry. The application of solar energy to power the vehicle is the main emphasis of this research. The engine of a solarpowered electric vehicle is powered by the energy stored in the battery, allowing the vehicle to go in any direction. The capacity of a solar panel is evaluated and an electric vehicle charging calculation for one unit is performed. Another key barrier for electric vehicles is the type of converter, battery, and controller necessary to regulate battery charge. This study is divided into three sections: first, modelling the required parameters for an electric car, then simulating the model in MATLAB, and finally, explaining the findings of the evaluation and simulation. In the current study, a PI controller is employed to control the solar/grid charging. The efficacy of the proposed method is validated through simulation model of PI controller.

Load Flow Analysis and Optimal Allocation of Distributed Generation Using Psat: A Review

Load-flow studies are very important aspect intended for planning future expansion of power syste... more Load-flow studies are very important aspect intended for planning future expansion of power systems as well as in determining the superlative operation of existing systems. With the help of load-flow study, one can attain the complete voltage angle and magnitude information's about each bus in a power system for identified load, real power and voltage conditions. But due to the increased demand of power other problems associated with load flow also arises such as voltage instability and overloading. So, there should be an optimal way to solve these problems and meet the requirement of Continuation Power Flow regarding improvement of voltage profile and reduction in power losses. This paper describes the optimal use of Distribution Generation for solving the load flow problems which improves voltage magnitude profile and reduces total losses in the line. This proposed approach will be tested on an IEEE 14 Bus test system using MATLAB Toolbox i.e. PSAT.

Power Quality Improvement Using Dstatcom in Distribution Network

2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)

In the present scenario, power quality is an important element of power system. Different nonline... more In the present scenario, power quality is an important element of power system. Different nonlinear devices like diodes, rectifiers, and furnaces are generating power fluctuation, voltage sag and swell concerns, load imbalance, voltage imbalance, and other power quality issues, which may be controlled by FACTS devices such as DVR, STATCOM, Active power filter, UPFC, and UPQC. In the present work, application of DSTATCOM in the distribution network to overcome power quality issues, meeting the reactive requirement of the load to raise power factor to unity are addressed. A novel Sinusoidal PWM (SPWM) control technique is employed to reduce the harmonics in the distribution network. It relies on weighted value convergence and is unaffected by carrier signal characteristics. In this paper, four different cases have been considered with varying supply voltages. The simulation results show that D-STATCOM works efficiently and offers very less THD for different power quality problem like voltage sag, swell, load imbalance, voltage fluctuation etc. The Voltage Source Converter is regulated using the Sinusoidal PWM method. The result indicates that the DSTATCOM and SPWM control technique is helpful for power quality improvement.

Optimal Placement of DG for Power Losses Minimization in Radial Distribution System using Backward Forward Sweep Algorithm

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), 2020

The problem of voltage collapse, stability issues & real power losses in distribution system is i... more The problem of voltage collapse, stability issues & real power losses in distribution system is increasing day by day. The performance of power system can be improved by employing distributed generation (DG) in the power system. This paper mainly focussed on DG Placement in Radial Distribution System (RDS). Optimal placements of DG are obtained with respect to real power losses, voltage profile and voltage stability index at every bus. Optimal location of DG placement is found by placing the distributed generation at different location to estimate real power losses and stability index at each location. The location which has minimum power losses and voltage stability index is more suitable DG placement. The load flow analysis algorithm used is Backward Forward Sweep (BFS). Voltage at each bus and real Power Losses are calculated using Load flow analysis. The proposed methodology of BFS is tested on a standard IEEE 33 Bus system. Different parameters such as voltage profile, power lo...

Neural Network Based Fault Detection & Classification for Transmission Lines

This Paper focuses on detecting, classifying and locating faults on electric power transmission l... more This Paper focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in locating faults on transmission lines and achieve satisfactory performances.

Comparative Analysis of Control Methods to Improve Reliability of PV-Wind Hybrid Power System

Wind and solar energy hybrid power generation is a novel and promising power system. Uncertainty ... more Wind and solar energy hybrid power generation is a novel and promising power system. Uncertainty and complexity of the climate make wind and solar hybrid power generation system a complicated system. In this paper, we firstintroduce advanced fuzzy logic controller technology into wind and solarenergy hybrid power generation system, and give a comparative analysis of Maximum Power Point Tracking control method with and without Multi fuzzy logic controller system to improve reliability of pvwind hybrid system. The simulation results verify that the control strategy not only enable the system to achieve maximum power very well, but also shows great operation in battery charging – disc arching decision.

AGC issues in power system operation after deregulation using PI and PID controller

This paper deals with load frequency control of interconnected power system before and after the ... more This paper deals with load frequency control of interconnected power system before and after the deregulation. In this work single area and two area concepts is considered. The major intention of Load Frequency Control is to sustain the power performance of electric generator within a specified area, due to which alters in frequency of the system and tie-line loading. Thus, Load Flow Controller assists in sustaining the frequency of the system and tie-line power performance with other areas within their specified limits. Mostly LFCs are initially comprises of an integral and PID controller. The gain of the controller is building put to a value that gives better response among fast transient recovery and low overshoot in the performance of the entire power system. The major focus of this dissertation work is on the controller to achieve good output frequency performances. LFC's for every area are mostly designed based on accessibility of frequency fluctuation of every area and ti...

Simulation Models for Different Power System Faults

The power system behavior needs to be analyzed under all the possible different fault conditions ... more The power system behavior needs to be analyzed under all the possible different fault conditions which are the abnormal and undesirable conditions. Perhaps, these power system fault may lead to an unstable and unsecure power system operation. Therefore, a fast detection and consequent clearance of these faults is essential to resume normal operating condition in power system. In this paper, the short circuit responses (behaviors) of power system have been analyzed for various type of shunt-type faults (i.e. symmetrical and asymmetrical faults) as well as open-conductor faults using MATLAB Simulink platform. The study shows the significance of symmetrical and asymmetrical fault current investigations for the description of apparatus rating which must upkeep these currents.

Analysis, Modeling and Simulation of Dynamic Voltage Restorer (DVR)for Compensation of Voltage for sag-swell Disturbances

IOSR Journal of Electrical and Electronics Engineering, 2014

Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag b... more Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag by injecting voltage as well as power into the system. This paper describes the effectiveness of using dynamic voltage restorers (DVRs) in order to mitigate voltage sags in power distribution systems at critical loads. The DVR is a power electronic based device that provides three-phase controllable voltage source, whose voltage vector(magnitude and angle) adds to the source voltage during sag event, to restore the load voltage to pre-sag conditions. The DVR can restore the load voltage within few milliseconds. A control technique based on aproportional-integral (PI) controller and a selective controller is used. The controller is designed in asynchronously-rotating reference frame. In fact, three independent controllers (homo polar component, d-axis component and q-axis component) have been used to tackle balanced and unbalanced voltage supplies. Simulation results using Simulink' Sim Power System Toolbox is presented to illustrate the principle and performance of a DVR operation in load voltage compensation.

Analysis, Modeling and Simulation of Dynamic Voltage Restorer (DVR)for Compensation of Voltage for sag-swell Disturbances

IOSR Journal of Electrical and Electronics Engineering, 2014

Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag b... more Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag by injecting voltage as well as power into the system. This paper describes the effectiveness of using dynamic voltage restorers (DVRs) in order to mitigate voltage sags in power distribution systems at critical loads. The DVR is a power electronic based device that provides three-phase controllable voltage source, whose voltage vector(magnitude and angle) adds to the source voltage during sag event, to restore the load voltage to pre-sag conditions. The DVR can restore the load voltage within few milliseconds. A control technique based on aproportional-integral (PI) controller and a selective controller is used. The controller is designed in asynchronously-rotating reference frame. In fact, three independent controllers (homo polar component, d-axis component and q-axis component) have been used to tackle balanced and unbalanced voltage supplies. Simulation results using Simulink' Sim Power System Toolbox is presented to illustrate the principle and performance of a DVR operation in load voltage compensation.

Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm

The recent multi-objective optimization problems are very complex which require an effective and ... more The recent multi-objective optimization problems are very complex which require an effective and robust evolutionary method for obtaining a global Pareto-optimal solutions. Most of these multi-objective evolutionary techniques are population-based methods which usually work on random search approaches and often trapped into local minima during their execution. A new fuzzy tuned mayfly algorithm (FTMA) is presented in this paper, to obtain the Pareto-optimal solutions for any complex multi-objective power system problem. It has a selfadapting global exploration capability to get the best Pareto-optimal solutions by varying two crucial parameters i.e., crossover (P c ) and mutation (P m ) probabilities. Moreover, a model of Pareto-dominance is employed to rank non-dominating solutions to maintain the diversity within the populations. The proposed evolutionary approach is examined on a standard ZDT benchmark test suite and its algorithmic performance is statistically compared with a few of the recent optimization techniques such as NSGA-II, NSGA-III, MMODE, MOAVOA and MMA algorithm. It is further applied to minimize two distinct objective functions (i.e., total transmission loss and voltage stability index) for IEEE-118 bus system and IEEE-24 bus RTS. A comprehensive statistical analysis is presented for the obtained numerical results, which proves that proposed FTMA has better convergence with better solution diversity in comparison to the other competing algorithms. A comprehensive analysis based on statistical results reveal that the proposed FTMA is superior for obtaining better non-dominating pareto-fronts as compared to other competing methods.

A Review on Uncertainty Modelling Approaches for Stochastic Optimization in Power System

Multi-objective optimization of reactive power dispatch problem using fuzzy tuned mayfly algorithm

Expert systems with applications, Sep 1, 2024

The recent multi-objective optimization problems are very complex which require an effective and ... more The recent multi-objective optimization problems are very complex which require an effective and robust evolutionary method for obtaining a global Pareto-optimal solutions. Most of these multi-objective evolutionary techniques are population-based methods which usually work on random search approaches and often trapped into local minima during their execution. A new fuzzy tuned mayfly algorithm (FTMA) is presented in this paper, to obtain the Pareto-optimal solutions for any complex multi-objective power system problem. It has a selfadapting global exploration capability to get the best Pareto-optimal solutions by varying two crucial parameters i.e., crossover (P c ) and mutation (P m ) probabilities. Moreover, a model of Pareto-dominance is employed to rank non-dominating solutions to maintain the diversity within the populations. The proposed evolutionary approach is examined on a standard ZDT benchmark test suite and its algorithmic performance is statistically compared with a few of the recent optimization techniques such as NSGA-II, NSGA-III, MMODE, MOAVOA and MMA algorithm. It is further applied to minimize two distinct objective functions (i.e., total transmission loss and voltage stability index) for IEEE-118 bus system and IEEE-24 bus RTS. A comprehensive statistical analysis is presented for the obtained numerical results, which proves that proposed FTMA has better convergence with better solution diversity in comparison to the other competing algorithms. A comprehensive analysis based on statistical results reveal that the proposed FTMA is superior for obtaining better non-dominating pareto-fronts as compared to other competing methods.

Multi-Objective Optimization of Reactive Power Dispatch Problem Using Fuzzy Tuned Mayfly Algorithm

A Wild Horse Optimization Approach for Reactive Power Dispatch (ORPD) Problem

2022 5th International Conference on Contemporary Computing and Informatics (IC3I)

In the present scenario, the ORPD problem is essential issues for secure and reliable power syste... more In the present scenario, the ORPD problem is essential issues for secure and reliable power system operation. ORPD is a subpart of OPF problem. This paper proposes Wild Horse Optimizer (WHO) for solving the non-linear constrained optimization problem which is ORPD problem. Reactive power dispatch problem's primary aim is to minimize the transmission power losses in the system while meeting active and reactive power restrictions. The reactive power dispatch issue for the IEEE-118 bus system is addressed in this paper. The optimization is done using WHO by updating the stallion value after each iteration. The obtained results are then compared with well-established optimization approaches such as PSO, GA, Multi-Agent-PSO (MAPSO). Simulation is carried out in MATLAB integrating with MATPOWER software, for load flow analysis. The amount of processing time, the amount of Active and Reactive power saved, and performance comparisons have all been compared. According to the simulation results, the suggested method converges more quickly than other algorithms, exhibits higher performance when compared to others, and is very effective for reactive power dispatch issues.

Advanced Security Algorithm for Power Grid

2013 International Conference on Communication Systems and Network Technologies, 2013

Power grid is the most involved human-made system. Designing energy efficient security protocol f... more Power grid is the most involved human-made system. Designing energy efficient security protocol first requires an understanding of and data related to the energy consumption of common encryption schemes. Providing time-synchronized data of power system operating states, WAMS will play a vital role in next generation smart grid protection and control. WAMS helps efficient energy transmission as well as reliable and optimal grid management. Security algorithms for power grid need to consider both performance and energy efficiency through code optimization techniques on encryption and decryption. In this paper, we take power nodes (sites) as platforms to experimentally study ways of energy consumptions in different security algorithms. First, we measure energy consumptions of various security algorithms on Cross Bow and Ember sensor nodes. Second, we propose an array of novel code optimization methods to increase energy consumption efficiency of different security algorithms. And then, we compare the results of first experiments (AES) and RC4, two energy efficient symmetric key algorithms that are commonly suggested or used in WLANs. Our results show that RC4 is more suitable for large packets and AES for small packets. Finally, based on careful analysis of measurement results.

Simulation of Solar-Grid Charging of Electric Vehicle using PI Controller

Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissi... more Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissions. Overloading of the electric grid system and the lack of sufficient charging stations are the two most pressing issues in the electric vehicle industry. The application of solar energy to power the vehicle is the main emphasis of this research. The engine of a solarpowered electric vehicle is powered by the energy stored in the battery, allowing the vehicle to go in any direction. The capacity of a solar panel is evaluated and an electric vehicle charging calculation for one unit is performed. Another key barrier for electric vehicles is the type of converter, battery, and controller necessary to regulate battery charge. This study is divided into three sections: first, modelling the required parameters for an electric car, then simulating the model in MATLAB, and finally, explaining the findings of the evaluation and simulation. In the current study, a PI controller is employed to control the solar/grid charging. The efficacy of the proposed method is validated through simulation model of PI controller.

Simulation of Solar-Grid Charging of Electric Vehicle using PI Controller

2022 2nd International Conference on Innovative Practices in Technology and Management (ICIPTM)

Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissi... more Electric vehicles (EVs) have a number of benefits, one of which is that they reduce carbon emissions. Overloading of the electric grid system and the lack of sufficient charging stations are the two most pressing issues in the electric vehicle industry. The application of solar energy to power the vehicle is the main emphasis of this research. The engine of a solarpowered electric vehicle is powered by the energy stored in the battery, allowing the vehicle to go in any direction. The capacity of a solar panel is evaluated and an electric vehicle charging calculation for one unit is performed. Another key barrier for electric vehicles is the type of converter, battery, and controller necessary to regulate battery charge. This study is divided into three sections: first, modelling the required parameters for an electric car, then simulating the model in MATLAB, and finally, explaining the findings of the evaluation and simulation. In the current study, a PI controller is employed to control the solar/grid charging. The efficacy of the proposed method is validated through simulation model of PI controller.

Load Flow Analysis and Optimal Allocation of Distributed Generation Using Psat: A Review

Load-flow studies are very important aspect intended for planning future expansion of power syste... more Load-flow studies are very important aspect intended for planning future expansion of power systems as well as in determining the superlative operation of existing systems. With the help of load-flow study, one can attain the complete voltage angle and magnitude information's about each bus in a power system for identified load, real power and voltage conditions. But due to the increased demand of power other problems associated with load flow also arises such as voltage instability and overloading. So, there should be an optimal way to solve these problems and meet the requirement of Continuation Power Flow regarding improvement of voltage profile and reduction in power losses. This paper describes the optimal use of Distribution Generation for solving the load flow problems which improves voltage magnitude profile and reduces total losses in the line. This proposed approach will be tested on an IEEE 14 Bus test system using MATLAB Toolbox i.e. PSAT.

Power Quality Improvement Using Dstatcom in Distribution Network

2021 International Conference on Control, Automation, Power and Signal Processing (CAPS)

In the present scenario, power quality is an important element of power system. Different nonline... more In the present scenario, power quality is an important element of power system. Different nonlinear devices like diodes, rectifiers, and furnaces are generating power fluctuation, voltage sag and swell concerns, load imbalance, voltage imbalance, and other power quality issues, which may be controlled by FACTS devices such as DVR, STATCOM, Active power filter, UPFC, and UPQC. In the present work, application of DSTATCOM in the distribution network to overcome power quality issues, meeting the reactive requirement of the load to raise power factor to unity are addressed. A novel Sinusoidal PWM (SPWM) control technique is employed to reduce the harmonics in the distribution network. It relies on weighted value convergence and is unaffected by carrier signal characteristics. In this paper, four different cases have been considered with varying supply voltages. The simulation results show that D-STATCOM works efficiently and offers very less THD for different power quality problem like voltage sag, swell, load imbalance, voltage fluctuation etc. The Voltage Source Converter is regulated using the Sinusoidal PWM method. The result indicates that the DSTATCOM and SPWM control technique is helpful for power quality improvement.

Optimal Placement of DG for Power Losses Minimization in Radial Distribution System using Backward Forward Sweep Algorithm

2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), 2020

The problem of voltage collapse, stability issues & real power losses in distribution system is i... more The problem of voltage collapse, stability issues & real power losses in distribution system is increasing day by day. The performance of power system can be improved by employing distributed generation (DG) in the power system. This paper mainly focussed on DG Placement in Radial Distribution System (RDS). Optimal placements of DG are obtained with respect to real power losses, voltage profile and voltage stability index at every bus. Optimal location of DG placement is found by placing the distributed generation at different location to estimate real power losses and stability index at each location. The location which has minimum power losses and voltage stability index is more suitable DG placement. The load flow analysis algorithm used is Backward Forward Sweep (BFS). Voltage at each bus and real Power Losses are calculated using Load flow analysis. The proposed methodology of BFS is tested on a standard IEEE 33 Bus system. Different parameters such as voltage profile, power lo...

Neural Network Based Fault Detection & Classification for Transmission Lines

This Paper focuses on detecting, classifying and locating faults on electric power transmission l... more This Paper focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for each of the three phases in the Fault location process. Analysis on neural networks with varying number of hidden layers and neurons per hidden layer has been provided to validate the choice of the neural networks in each step. Simulation results have been provided to demonstrate that artificial neural network based methods are efficient in locating faults on transmission lines and achieve satisfactory performances.

Comparative Analysis of Control Methods to Improve Reliability of PV-Wind Hybrid Power System

Wind and solar energy hybrid power generation is a novel and promising power system. Uncertainty ... more Wind and solar energy hybrid power generation is a novel and promising power system. Uncertainty and complexity of the climate make wind and solar hybrid power generation system a complicated system. In this paper, we firstintroduce advanced fuzzy logic controller technology into wind and solarenergy hybrid power generation system, and give a comparative analysis of Maximum Power Point Tracking control method with and without Multi fuzzy logic controller system to improve reliability of pvwind hybrid system. The simulation results verify that the control strategy not only enable the system to achieve maximum power very well, but also shows great operation in battery charging – disc arching decision.

AGC issues in power system operation after deregulation using PI and PID controller

This paper deals with load frequency control of interconnected power system before and after the ... more This paper deals with load frequency control of interconnected power system before and after the deregulation. In this work single area and two area concepts is considered. The major intention of Load Frequency Control is to sustain the power performance of electric generator within a specified area, due to which alters in frequency of the system and tie-line loading. Thus, Load Flow Controller assists in sustaining the frequency of the system and tie-line power performance with other areas within their specified limits. Mostly LFCs are initially comprises of an integral and PID controller. The gain of the controller is building put to a value that gives better response among fast transient recovery and low overshoot in the performance of the entire power system. The major focus of this dissertation work is on the controller to achieve good output frequency performances. LFC's for every area are mostly designed based on accessibility of frequency fluctuation of every area and ti...

Simulation Models for Different Power System Faults

The power system behavior needs to be analyzed under all the possible different fault conditions ... more The power system behavior needs to be analyzed under all the possible different fault conditions which are the abnormal and undesirable conditions. Perhaps, these power system fault may lead to an unstable and unsecure power system operation. Therefore, a fast detection and consequent clearance of these faults is essential to resume normal operating condition in power system. In this paper, the short circuit responses (behaviors) of power system have been analyzed for various type of shunt-type faults (i.e. symmetrical and asymmetrical faults) as well as open-conductor faults using MATLAB Simulink platform. The study shows the significance of symmetrical and asymmetrical fault current investigations for the description of apparatus rating which must upkeep these currents.

Analysis, Modeling and Simulation of Dynamic Voltage Restorer (DVR)for Compensation of Voltage for sag-swell Disturbances

IOSR Journal of Electrical and Electronics Engineering, 2014

Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag b... more Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag by injecting voltage as well as power into the system. This paper describes the effectiveness of using dynamic voltage restorers (DVRs) in order to mitigate voltage sags in power distribution systems at critical loads. The DVR is a power electronic based device that provides three-phase controllable voltage source, whose voltage vector(magnitude and angle) adds to the source voltage during sag event, to restore the load voltage to pre-sag conditions. The DVR can restore the load voltage within few milliseconds. A control technique based on aproportional-integral (PI) controller and a selective controller is used. The controller is designed in asynchronously-rotating reference frame. In fact, three independent controllers (homo polar component, d-axis component and q-axis component) have been used to tackle balanced and unbalanced voltage supplies. Simulation results using Simulink' Sim Power System Toolbox is presented to illustrate the principle and performance of a DVR operation in load voltage compensation.

Analysis, Modeling and Simulation of Dynamic Voltage Restorer (DVR)for Compensation of Voltage for sag-swell Disturbances

IOSR Journal of Electrical and Electronics Engineering, 2014

Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag b... more Dynamic voltage restorer (DVR) can provide the most commercial solution to mitigate voltage sag by injecting voltage as well as power into the system. This paper describes the effectiveness of using dynamic voltage restorers (DVRs) in order to mitigate voltage sags in power distribution systems at critical loads. The DVR is a power electronic based device that provides three-phase controllable voltage source, whose voltage vector(magnitude and angle) adds to the source voltage during sag event, to restore the load voltage to pre-sag conditions. The DVR can restore the load voltage within few milliseconds. A control technique based on aproportional-integral (PI) controller and a selective controller is used. The controller is designed in asynchronously-rotating reference frame. In fact, three independent controllers (homo polar component, d-axis component and q-axis component) have been used to tackle balanced and unbalanced voltage supplies. Simulation results using Simulink' Sim Power System Toolbox is presented to illustrate the principle and performance of a DVR operation in load voltage compensation.