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 solar-powered 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.
2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020
The wind farms technology is an emerging technology for electrical power generation. However, the... more The wind farms technology is an emerging technology for electrical power generation. However, the unpredictable nature of the wind speed affects the output performance of the wind farm. As a result, the power generation output of a wind farm is uncertain. In this paper, a scenario-based two-stage stochastic optimization framework is developed to minimize the total real power losses in the transmission network. The deterministic optimal reactive power dispatch problem is modified using scenario based stochastic process. In addition, a real-coded genetic algorithm based on principle component analysis is used to solve the two-stage stochastic optimal problem. It is tested on modified IEEE 30-bus power system. The presented case study and obtained test results proves the effectiveness of proposed method for getting optimal solutions in all considered scenarios.
Abstract The function of oil used in large size transformers are cooling and insulation. Transfor... more Abstract The function of oil used in large size transformers are cooling and insulation. Transformer oil must have certain properties like high dielectric strength, low viscosity, high flash point, very low moisture or water content, high specific resistance and many more. Petroleum based synthetic and mineral oil used over last few decades, which affects the environment because of their non-biodegradability characteristics. It can be overcome by using any liquid as coolant and insulation purpose in transformer, which should have all the basic properties of transformer oil and should be biodegradable. Due to several advantages, researchers focused on biodegradable and renewable alternative of mineral oil. Ester oil has been considered as a substitute of conventional petroleum based oil. Plants of soya, sunflower and rapeseed are the sources of natural ester oil which is substitute of mineral oil. A journey of different materials used for transformer oil have been presented. Different properties of transformer oils along with the causes of failure of insulation have also been discussed. Various Ester oils have been used as an alternative to mineral oils. Different Ester oils along with their properties are also discussed.
2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), 2020
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.
2018 IEEE 8th Power India International Conference (PIICON), 2018
Occurrence of the faults on transmission lines affects the performance of power system. These fau... more Occurrence of the faults on transmission lines affects the performance of power system. These faults may cause interruption in the flow of power. Fast and accurate detection as well as location of these faults help in restoration of power supply in minimum time. This will result in improved reliability of power supply. This paper details an approach which helps to detect faults on the transmission line. The proposed approach uses Stockwell Transform based median to provide protection to the transmission line against power system faults such as line to ground, double line, double line to ground and three phase fault involving. Recording of the current signals is carried out on test node of test system. These signals are decomposed using Stockwell transform to obtain the S-matrix. The fault index is calculated using the median of this matrix which is found to be effective in detection and classification of faults in the power system network. Proposed study is performed using IEEE-34 node test system in MATLAB/Simulink environment.
2021 International Conference on Control, Automation, Power and Signal Processing (CAPS), 2021
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.
In this paper, a new K-means clustering based approach for identification of voltage control area... more In this paper, a new K-means clustering based approach for identification of voltage control areas is developed. Voltage control areas are important for efficient reactive power management in power systems operating under deregulated environment. Although, voltage control areas are formed using conventional hierarchical clustering based method, but the present paper investigate the capability of K-means clustering for the purpose of forming voltage control areas. The proposed method is tested and compared for IEEE 14 bus and IEEE 30 bus systems. The results show that this K-means based method is competing with conventional hierarchical approach
Advances in Communication, Devices and Networking, 2020
A shunt–series type of flexible AC transmission system named as Unified Power Flow Controller (UP... more A shunt–series type of flexible AC transmission system named as Unified Power Flow Controller (UPFC) has an ability to manage real as well as reactive power in the power system network in a simultaneous manner. In this paper, a simulation model of UPFC is tested for the IEEE 14 bus standard test system on the DIgSILENT power factory software. Moreover, an optimum reactive power dispatch problem in presence of UPFC has been solved to reduce the real power loss in transmission lines. The proposed UPFC-based ORPD problem has been solved using the interior point method. The proposed approach is simulated under different loading conditions of the network. A comparative analysis of the obtained simulation results for each loading condition shows the effectiveness of UPFC for real power losses reduction.
2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), 2019
The modernization in all sectors has been resulted in terms of day-by-day continuously increased ... more The modernization in all sectors has been resulted in terms of day-by-day continuously increased electrical power demand. Because of which, the challenges of heavy real and reactive power loss as well as voltage instability have been surfaced. In this paper, a shunt-type FACTS device known as STATCOM has been used to overcome these challenges. Keeping an eye on this, an optimal dispatch problem for reactive power is solved in presence of STATCOM. The real power transmission losses are minimized and the results are analysed for different loading situations in the standard IEEE 14 bus test system. All the simulations are carried out on DigSILENT PowerFactory software. The simulation results obtained which demonstrate the significant role of STATCOM in the real power transmission loss reduction and bus voltages of the power network.
International Journal of Forensic Engineering, 2020
Economic load dispatch (ELD) is economic scheduling of all generating units for variable load con... more Economic load dispatch (ELD) is economic scheduling of all generating units for variable load conditions of power system. At the same time, emission of pollutants from conventional thermal power plants need to be controlled for reducing air pollution. Therefore, optimisation of operating cost and emission of pollutants is required for the economic and safe power generation. This paper proposes optimisation of load scheduling for combined economic emission and load dispatch (CEELD) problems. Biogeography based optimisation (BBO) technique is employed to provide the lowest fuel cost at minimum emission of pollutants of all the generating units for a given load. The CEELD solution is obtained by applying BBO technique on a standard IEEE 30 bus - 6 generator system. All the parameters are evaluated in MATLAB for 50 and 100 population size at a given load. The results are compared with the existing methods to prove the efficacy of the proposed technique.
International Journal of Forensic Engineering, 2020
The non-linearity and complexity of the power network are increased with an ever-increasing inclu... more The non-linearity and complexity of the power network are increased with an ever-increasing inclusion of renewable energy sources to its existing grid. It necessitates more computational efforts from the system operator for its reliable and safe operation. In parallel, new ideas and emerging technologies have been evolved worldwide to improve system reliability and stability. However, the complexity of power networks has increased so much that direct implementation of any new technology on the system can be very complex and sometimes quite risky. Therefore, appropriate simulation software is needed to reduce the above restriction. In this paper, DIgSILENT power factory simulation software has been used to simulate an 80 MW wind farm, using sixteen wind turbines (5 MW each). The performance analysis of the developed wind farm has been carried out on the IEEE 30 bus standard test system. Comparative analysis of the results obtained during the validation of the network as well as optimisation of total cost and loss has been carried out.
Optimal reactive power dispatch plays an important role to reduce the total active power losses i... more Optimal reactive power dispatch plays an important role to reduce the total active power losses in transmission lines and the total voltage deviation at the load buses. Optimal reactive power dispatch is a nonlinear, nonconvex, non differentiable, and multimodal optimization problem with discrete and continuous control variables. In this paper, the interface between MATLAB and DigSILENT PowerFactory software has been realized to solve the optimal reactive power dispatch problem. The power flow calculation has been executed on DigSILENT PowerFactory software, and the process of optimization through Genetic Algorithm has been implemented on MATLAB. The proposed approach has been tested on standard IEEE 30 bus system. The results obtained by the proposed approach has been compared with results presented in the literature.
This paper presents a new multi-objective coupled energy and reactive power market clearing model... more This paper presents a new multi-objective coupled energy and reactive power market clearing model namely the MO-CERPMC model in day-ahead competitive market environment. In proposed model, both the active and reactive power markets are considered as coupled markets and cleared in a same time frame. The multi-objective optimization problem involves the minimization of total payment functions for active power and reactive power support services respectively. Minimization of both objectives are subject to various system operating constraints such as generators capability curve limits, uniform price auctions for both the markets, zonal/localized reactive power market structure etc. The MO-CERPMC model is solved using two multi-objective optimization techniques such as a hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) and a non-dominated sorting genetic algorithm (NSGA-II) and the results are compared. KeywordsCoupled energy and reactive power market clearing, uniform price ...
Intelligent Computing Techniques for Smart Energy Systems, 2019
Electricity is an important part of homes and industries. The power demand in our country is incr... more Electricity is an important part of homes and industries. The power demand in our country is increasing rapidly, so the management and efficient utilisation of power are imperative. The efforts were made to provide reliable power supply facility to society as well as industry. In the present scenario, the major portion of domestic power is provided by the conventional power resources but renewable energy resources are taking over the conventional energy resources. The utilisation of solar cell based energy resources are increasing exponentially, so the convectional power sources and solar energy resources are used in hybrid mode especially for running the household utilities. The solar system is preferred over the conventional source due to its economical and environmentally friendly nature. The convectional sources are preferred over the solar energy sources when the solar cell-based system is not able to give sufficient power. This paper will analyse the impact of the solar as well as conventional power management using Arduino based control system for household utilities. The Arduino based hardware is designed to use solar power optimally. The voltage sensor will measure the battery voltage and display it on LCD. Then the battery voltage is logically used by Arduino based control unit to run the household utilities.
Intelligent Computing Techniques for Smart Energy Systems, 2019
Recently, the distributed generation (DG) has emerged as important source of energy which is capa... more Recently, the distributed generation (DG) has emerged as important source of energy which is capable to meet our future energy demand. These generators with large capacity are integrated into the power system network. Integration of DG sources to the utility networks changes network behavior causing different effects on the system such as power quality problem, protection issues, and stability issues. These issues need to be investigated separately. Protection of the utility network in the presence of DG sources is a challenging task which needs to be investigated. Integration of DG units to power system networks affects behavior of protection and relaying equipment due to widespread distribution of these units and variable generation from these units. Hence, to provide an accurate protection system against various types of faults in the power system network, such as line to ground (LG), double line (LL), double line to ground (LLG), and three-phase to ground fault (LLLG), effective detection, as well as discrimination of faults from each other, is essentially required. This work presents an algorithm based on the median calculated from the S-matrix obtained by decomposition of current signal using Stockwell transform to detect faults in power system network incorporated with wind generator. The proposed algorithm is based on detection of the faults using the threshold values. The proposed study is performed in MATLAB/Simulink environment using IEEE-34 node test system incorporated with wind generator.
2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017
In this paper, a competitive bidding based congestion management strategy is developed for a pool... more In this paper, a competitive bidding based congestion management strategy is developed for a pool type electricity market model. The proposed congestion management strategy alleviates the transmission congestion by using rescheduling both the real and reactive power output of generators. The separate bids for real and reactive powers are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed strategy is tested for different congestion scenarios on 39-bus New England power system.
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 solar-powered 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.
2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM), 2020
The wind farms technology is an emerging technology for electrical power generation. However, the... more The wind farms technology is an emerging technology for electrical power generation. However, the unpredictable nature of the wind speed affects the output performance of the wind farm. As a result, the power generation output of a wind farm is uncertain. In this paper, a scenario-based two-stage stochastic optimization framework is developed to minimize the total real power losses in the transmission network. The deterministic optimal reactive power dispatch problem is modified using scenario based stochastic process. In addition, a real-coded genetic algorithm based on principle component analysis is used to solve the two-stage stochastic optimal problem. It is tested on modified IEEE 30-bus power system. The presented case study and obtained test results proves the effectiveness of proposed method for getting optimal solutions in all considered scenarios.
Abstract The function of oil used in large size transformers are cooling and insulation. Transfor... more Abstract The function of oil used in large size transformers are cooling and insulation. Transformer oil must have certain properties like high dielectric strength, low viscosity, high flash point, very low moisture or water content, high specific resistance and many more. Petroleum based synthetic and mineral oil used over last few decades, which affects the environment because of their non-biodegradability characteristics. It can be overcome by using any liquid as coolant and insulation purpose in transformer, which should have all the basic properties of transformer oil and should be biodegradable. Due to several advantages, researchers focused on biodegradable and renewable alternative of mineral oil. Ester oil has been considered as a substitute of conventional petroleum based oil. Plants of soya, sunflower and rapeseed are the sources of natural ester oil which is substitute of mineral oil. A journey of different materials used for transformer oil have been presented. Different properties of transformer oils along with the causes of failure of insulation have also been discussed. Various Ester oils have been used as an alternative to mineral oils. Different Ester oils along with their properties are also discussed.
2020 IEEE International Conference on Advances and Developments in Electrical and Electronics Engineering (ICADEE), 2020
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.
2018 IEEE 8th Power India International Conference (PIICON), 2018
Occurrence of the faults on transmission lines affects the performance of power system. These fau... more Occurrence of the faults on transmission lines affects the performance of power system. These faults may cause interruption in the flow of power. Fast and accurate detection as well as location of these faults help in restoration of power supply in minimum time. This will result in improved reliability of power supply. This paper details an approach which helps to detect faults on the transmission line. The proposed approach uses Stockwell Transform based median to provide protection to the transmission line against power system faults such as line to ground, double line, double line to ground and three phase fault involving. Recording of the current signals is carried out on test node of test system. These signals are decomposed using Stockwell transform to obtain the S-matrix. The fault index is calculated using the median of this matrix which is found to be effective in detection and classification of faults in the power system network. Proposed study is performed using IEEE-34 node test system in MATLAB/Simulink environment.
2021 International Conference on Control, Automation, Power and Signal Processing (CAPS), 2021
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.
In this paper, a new K-means clustering based approach for identification of voltage control area... more In this paper, a new K-means clustering based approach for identification of voltage control areas is developed. Voltage control areas are important for efficient reactive power management in power systems operating under deregulated environment. Although, voltage control areas are formed using conventional hierarchical clustering based method, but the present paper investigate the capability of K-means clustering for the purpose of forming voltage control areas. The proposed method is tested and compared for IEEE 14 bus and IEEE 30 bus systems. The results show that this K-means based method is competing with conventional hierarchical approach
Advances in Communication, Devices and Networking, 2020
A shunt–series type of flexible AC transmission system named as Unified Power Flow Controller (UP... more A shunt–series type of flexible AC transmission system named as Unified Power Flow Controller (UPFC) has an ability to manage real as well as reactive power in the power system network in a simultaneous manner. In this paper, a simulation model of UPFC is tested for the IEEE 14 bus standard test system on the DIgSILENT power factory software. Moreover, an optimum reactive power dispatch problem in presence of UPFC has been solved to reduce the real power loss in transmission lines. The proposed UPFC-based ORPD problem has been solved using the interior point method. The proposed approach is simulated under different loading conditions of the network. A comparative analysis of the obtained simulation results for each loading condition shows the effectiveness of UPFC for real power losses reduction.
2019 3rd International Conference on Recent Developments in Control, Automation & Power Engineering (RDCAPE), 2019
The modernization in all sectors has been resulted in terms of day-by-day continuously increased ... more The modernization in all sectors has been resulted in terms of day-by-day continuously increased electrical power demand. Because of which, the challenges of heavy real and reactive power loss as well as voltage instability have been surfaced. In this paper, a shunt-type FACTS device known as STATCOM has been used to overcome these challenges. Keeping an eye on this, an optimal dispatch problem for reactive power is solved in presence of STATCOM. The real power transmission losses are minimized and the results are analysed for different loading situations in the standard IEEE 14 bus test system. All the simulations are carried out on DigSILENT PowerFactory software. The simulation results obtained which demonstrate the significant role of STATCOM in the real power transmission loss reduction and bus voltages of the power network.
International Journal of Forensic Engineering, 2020
Economic load dispatch (ELD) is economic scheduling of all generating units for variable load con... more Economic load dispatch (ELD) is economic scheduling of all generating units for variable load conditions of power system. At the same time, emission of pollutants from conventional thermal power plants need to be controlled for reducing air pollution. Therefore, optimisation of operating cost and emission of pollutants is required for the economic and safe power generation. This paper proposes optimisation of load scheduling for combined economic emission and load dispatch (CEELD) problems. Biogeography based optimisation (BBO) technique is employed to provide the lowest fuel cost at minimum emission of pollutants of all the generating units for a given load. The CEELD solution is obtained by applying BBO technique on a standard IEEE 30 bus - 6 generator system. All the parameters are evaluated in MATLAB for 50 and 100 population size at a given load. The results are compared with the existing methods to prove the efficacy of the proposed technique.
International Journal of Forensic Engineering, 2020
The non-linearity and complexity of the power network are increased with an ever-increasing inclu... more The non-linearity and complexity of the power network are increased with an ever-increasing inclusion of renewable energy sources to its existing grid. It necessitates more computational efforts from the system operator for its reliable and safe operation. In parallel, new ideas and emerging technologies have been evolved worldwide to improve system reliability and stability. However, the complexity of power networks has increased so much that direct implementation of any new technology on the system can be very complex and sometimes quite risky. Therefore, appropriate simulation software is needed to reduce the above restriction. In this paper, DIgSILENT power factory simulation software has been used to simulate an 80 MW wind farm, using sixteen wind turbines (5 MW each). The performance analysis of the developed wind farm has been carried out on the IEEE 30 bus standard test system. Comparative analysis of the results obtained during the validation of the network as well as optimisation of total cost and loss has been carried out.
Optimal reactive power dispatch plays an important role to reduce the total active power losses i... more Optimal reactive power dispatch plays an important role to reduce the total active power losses in transmission lines and the total voltage deviation at the load buses. Optimal reactive power dispatch is a nonlinear, nonconvex, non differentiable, and multimodal optimization problem with discrete and continuous control variables. In this paper, the interface between MATLAB and DigSILENT PowerFactory software has been realized to solve the optimal reactive power dispatch problem. The power flow calculation has been executed on DigSILENT PowerFactory software, and the process of optimization through Genetic Algorithm has been implemented on MATLAB. The proposed approach has been tested on standard IEEE 30 bus system. The results obtained by the proposed approach has been compared with results presented in the literature.
This paper presents a new multi-objective coupled energy and reactive power market clearing model... more This paper presents a new multi-objective coupled energy and reactive power market clearing model namely the MO-CERPMC model in day-ahead competitive market environment. In proposed model, both the active and reactive power markets are considered as coupled markets and cleared in a same time frame. The multi-objective optimization problem involves the minimization of total payment functions for active power and reactive power support services respectively. Minimization of both objectives are subject to various system operating constraints such as generators capability curve limits, uniform price auctions for both the markets, zonal/localized reactive power market structure etc. The MO-CERPMC model is solved using two multi-objective optimization techniques such as a hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) and a non-dominated sorting genetic algorithm (NSGA-II) and the results are compared. KeywordsCoupled energy and reactive power market clearing, uniform price ...
Intelligent Computing Techniques for Smart Energy Systems, 2019
Electricity is an important part of homes and industries. The power demand in our country is incr... more Electricity is an important part of homes and industries. The power demand in our country is increasing rapidly, so the management and efficient utilisation of power are imperative. The efforts were made to provide reliable power supply facility to society as well as industry. In the present scenario, the major portion of domestic power is provided by the conventional power resources but renewable energy resources are taking over the conventional energy resources. The utilisation of solar cell based energy resources are increasing exponentially, so the convectional power sources and solar energy resources are used in hybrid mode especially for running the household utilities. The solar system is preferred over the conventional source due to its economical and environmentally friendly nature. The convectional sources are preferred over the solar energy sources when the solar cell-based system is not able to give sufficient power. This paper will analyse the impact of the solar as well as conventional power management using Arduino based control system for household utilities. The Arduino based hardware is designed to use solar power optimally. The voltage sensor will measure the battery voltage and display it on LCD. Then the battery voltage is logically used by Arduino based control unit to run the household utilities.
Intelligent Computing Techniques for Smart Energy Systems, 2019
Recently, the distributed generation (DG) has emerged as important source of energy which is capa... more Recently, the distributed generation (DG) has emerged as important source of energy which is capable to meet our future energy demand. These generators with large capacity are integrated into the power system network. Integration of DG sources to the utility networks changes network behavior causing different effects on the system such as power quality problem, protection issues, and stability issues. These issues need to be investigated separately. Protection of the utility network in the presence of DG sources is a challenging task which needs to be investigated. Integration of DG units to power system networks affects behavior of protection and relaying equipment due to widespread distribution of these units and variable generation from these units. Hence, to provide an accurate protection system against various types of faults in the power system network, such as line to ground (LG), double line (LL), double line to ground (LLG), and three-phase to ground fault (LLLG), effective detection, as well as discrimination of faults from each other, is essentially required. This work presents an algorithm based on the median calculated from the S-matrix obtained by decomposition of current signal using Stockwell transform to detect faults in power system network incorporated with wind generator. The proposed algorithm is based on detection of the faults using the threshold values. The proposed study is performed in MATLAB/Simulink environment using IEEE-34 node test system incorporated with wind generator.
2017 International Conference on Computer, Communications and Electronics (Comptelix), 2017
In this paper, a competitive bidding based congestion management strategy is developed for a pool... more In this paper, a competitive bidding based congestion management strategy is developed for a pool type electricity market model. The proposed congestion management strategy alleviates the transmission congestion by using rescheduling both the real and reactive power output of generators. The separate bids for real and reactive powers are invited from all participating generators in the congestion market. Further, the multi-objective optimization frameworks are developed which minimizes two contradictory objective functions such as Total Cost of Congestion Management and Congestion Severity Index (CSI) subjected to various system constraints. The proposed strategy is tested for different congestion scenarios on 39-bus New England power system.
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 86), 2012
This paper presents a development of a new hybrid fuzzy multi-objective evolutionary algorithm (H... more This paper presents a development of a new hybrid fuzzy multi-objective evolutionary algorithm (HFMOEA) for solving complex multi-objective optimization problems. In this proposed algorithm, two significant parameters such as crossover probability (P C) and mutation probability (P M) are dynamically varied during optimization based on the output of a fuzzy controller for improving its convergence performance by guiding the direction of stochastic search to reach near the true pareto-optimal solution effectively. The performance of HFMOEA is examined and compared with NSGA-II on three benchmark test problems such as ZDT1, ZDT2 and ZDT3.
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