This paper is an emphasis on advanced energy management strategy and control of a stand-alone hybrid system. The hybrid systems consist of PV, wind and battery storage for rural domestic applications. Several types of different DC-DC... more
This paper is an emphasis on advanced energy management strategy and control of a stand-alone hybrid system. The hybrid systems consist of PV, wind and battery storage for rural domestic applications. Several types of different DC-DC converters utilized to control the power flow between load and source. The DC bus in the given system has MPPT controllers which provide optimal torque (OT). The storage system i.e. the battery is connected via DC-DC converter which is bidirectional in nature to the DC bus. The fuzzy based controller Inverter is used as the interface between the AC bus and DC bus. The hybrids system for power generation works within the constraints to satisfactorily fulfil power demand. Using an efficient control strategy for all the sources a continuous power supply is being aimed in this paper. Also, battery's state of charge (SOC) is aimed to be above 80%. The study and simulation results obtained shows that the system stabilizes within two cycle when load suddenly changes. Fuzzy based controller along with the energy management system (EMU) effectively maintains the supply demand balance.
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This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and... more
This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and load. The proposed algorithm has advantages of neural and fuzzy networks. To enhance of converter performance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller is used. In order to demonstrate the proposed ANFIS controller abilities to follow the reference voltage and current, its performance is simulated and compared with Artificial Intelligence Technique based MPPT controller. Simulation results show that for a wide range of input irradiance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller shows improved performance than the Artificial Intelligence Technique based MPPT controller with at various operating conditions.
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This paper presents a framework of demand response scheduling for household under time based demand response strategies. For modeling and analysis of demand response, physical based household load models are used. These models include... more
This paper presents a framework of demand response scheduling for household under time based demand response strategies. For modeling and analysis of demand response, physical based household load models are used. These models include schedulable appliances i.e. air conditioner, water heater. This paper aims at minimization of electricity bills by maximizing the utilization of renewable energy resources. The proposed scheduling technique compares the energy scheduling results of home appliances based on day ahead time-of-use tariff, critical peak pricing tariff and real-time pricing tariff. This technique formulates the scheduling problem as a mixed integer linear programming and the problem is resolved by commercial CPLEX solver.
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This paper focuses on the development of ANN based MPPT interfaced Permanent magnet synchronous generator (PMSG) for wind energy conversion system (WECS). It focuses on design and modeling aspects of the completely different elements of... more
This paper focuses on the development of ANN based MPPT interfaced Permanent magnet synchronous generator (PMSG) for wind energy conversion system (WECS). It focuses on design and modeling aspects of the completely different elements of the WECS like the fundamental model of ANN based MPPT controller, MLI, wind turbine, optimum maximum power point tracking system utilizing MATLAB/Simulink. Major object is to extract the maximum energy from the wind which confirms a highest efficiency of developed system. The thesis shows the model of wind turbine together with the model of PMSG. The ANN based mostly MPPT approach used right here is predicated on Perturbation and observation (P&O). To complete the process of modeling and simulation the platform of MATLAB/Simulink is utilized. Developed ANN are most efficient technique compared to conventional methods. It achieves maximum power with more stability, precision and better performance with good dynamic response under variable wind speed conditions. It exhibits the enhancements for the developed system and control action for balance/unbalanced steady state in addition to transient, dynamic response circumstances.
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The major problem in renewable energy system is that the variation in power generation from time to time because of the intermittent nature of the renewable sources. In this paper presents the Artificial Neural Network (ANN) based... more
The major problem in renewable energy system is that the variation in power generation from time to time because of the intermittent nature of the renewable sources. In this paper presents the Artificial Neural Network (ANN) based intelligent control strategy for hybrid standalone microgrid system for varying wind, varying solar irradiation, varying load and symmetrical and asymmetrical fault conditions is presented. A dynamic model of hybrid standalone microgrid consisting wind and solar PV renewable sources with maximum power point tracking control algorithm is developed in MATLAB/Simulink software. A solar PV panel, wind energy conversion system and dynamic model of hybrid energy storage consisting Lithium-ion batteries (Li-Ion) and supercapacitor is connected with the DC Bus. The DC link is connected through the power electronic interfacing circuit and converters connected to a source for a diverse electricity generation. The main objective of this thesis is to improve the power...
This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and... more
This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and load. In this research work presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) based Levenberg-Marquardt (LM), Bayesian Regularization (BR) and Scaled Conjugate Gradient (SCG) algorithms are deployed in maximum power point tracking (MPPT) energy harvesting in solar photovoltaic (PV) system to forge a comparative performance analysis of the four different algorithms. A comparative analysis among the algorithms in terms of the performance of handling the trained dataset is presented. The MATLAB/Simulink environment is used to design the maximum power point tracking energy harvesting system and the artificial neural network toolbox is utilized to analyze the developed mod...
This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and... more
This paper presents the development and performance analysis of Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller for a DC to DC converter. The proposed system consists of 2.0 kW PV array, DC to DC boost converter and load. The proposed algorithm has advantages of neural and fuzzy networks. To enhance of converter performance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller is used. In order to demonstrate the proposed ANFIS controller abilities to follow the reference voltage and current, its performance is simulated and compared with Artificial Intelligence Technique based MPPT controller. Simulation results show that for a wide range of input irradiance, Adaptive Neuro-Fuzzy Inference System (ANFIS) based MPPT controller shows improved performance than the Artificial Intelligence Technique based MPPT controller with at various operating conditions.
This paper focuses on the development of ANN based MPPT interfaced Permanent magnet synchronous generator (PMSG) for wind energy conversion system (WECS). It focuses on design and modeling aspects of the completely different elements of... more
This paper focuses on the development of ANN based MPPT interfaced Permanent magnet synchronous generator (PMSG) for wind energy conversion system (WECS). It focuses on design and modeling aspects of the completely different elements of the WECS like the fundamental model of ANN based MPPT controller, MLI, wind turbine, optimum maximum power point tracking system utilizing MATLAB/Simulink. Major object is to extract the maximum energy from the wind which confirms a highest efficiency of developed system. The thesis shows the model of wind turbine together with the model of PMSG. The ANN based mostly MPPT approach used right here is predicated on Perturbation and observation (P&O). To complete the process of modeling and simulation the platform of MATLAB/Simulink is utilized. Developed ANN are most efficient technique compared to conventional methods. It achieves maximum power with more stability, precision and better performance with good dynamic response under variable wind speed c...
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This paper presents the power management and control strategy of a hybrid wind- solar PV system. The developed control strategy is implemented of the proposed hybrid system entails two main buses i.e., an AC and a DC. Wind and solar PV... more
This paper presents the power management and control strategy of a hybrid wind- solar PV system. The developed control strategy is implemented of the proposed hybrid system entails two main buses i.e., an AC and a DC. Wind and solar PV array systems rated capacity are 8.5kW and 10kW respectively. Both are connected to DC bus via their associated converters and MPPT controller derived optimal torque (OT). The hybrid system also has incorporated battery with DC bus via DC-DC converter. The inverter provides the interfacing between both the buses which is based fuzzy system& multilevel inverter. The load connected receives three phase AC supply from AC bus. The battery does the role of Energy storage system (ESS) in the event of excess power. While the rise in demand it also acts as a standby unit. The system elaborated here always tends to keep battery's state of charge (SOC) above 80%. Hence, manages power. Performance of the ESS has been shown via the results obtained from MATAL...
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The most important topic for electrical engineering is power quality in past few years. Power quality problem is an occurrence as a nonstandard voltage, current or frequency. One of the major problems is the voltage sag. With the waste... more
The most important topic for electrical engineering is power quality in past few years. Power quality problem is an occurrence as a nonstandard voltage, current or frequency. One of the major problems is the voltage sag. With the waste development in power electronics technology have made it possible to mitigate power quality problems. This paper presents power quality problem such as voltage sag. Compensating devices such as STATCOM, tap changing transformer, UPQC and DVR are available to mitigate voltage sag problems. This paper first gives an introduction to power quality problems for a UPQC and power electronics controllers for voltage sag mitigation. Thereafter the operation and elements in UPQC is described. Modeling and simulation of proposed UPQC is implemented in MATLAB/SIMULINK.
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One of the major problems observed in distribution system in recent days is Power Quality. Today most of the people are using the sophisticated electrical equipment based on semiconductor device, these equipment pollute the power quality.... more
One of the major problems observed in distribution system in recent days is Power Quality. Today most of the people are using the sophisticated electrical equipment based on semiconductor device, these equipment pollute the power quality. The sag and swell problem not only occur by the disturbed power quality but also due to high system tapping at the point of common coupling in the system. The non linear load is also creating the same problem at the load end. The Dynamic Voltage Restorer is recognized as the best solution for mitigation of voltage sag and swell associated problems in the highly taped distribution system. This work presents the simulation modeling and analysis of advanced DVR system for solving these problems. The PI control scheme is used for generating the gate pulse for IGBT bridge converter. The reference DC voltages are taken from the battery. The three phase fault is creating in the system and for analyzing the result. The role of DVR is to compensate the load...
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This paper presents a framework of demand response scheduling for household under time based demand response strategies. For modeling and analysis of demand response, physical based household load models are used. These models include... more
This paper presents a framework of demand response scheduling for household under time based demand response strategies. For modeling and analysis of demand response, physical based household load models are used. These models include schedulable appliances i.e. air conditioner, water heater. This paper aims at minimization of electricity bills by maximizing the utilization of renewable energy resources. The proposed scheduling technique compares the energy scheduling results of home appliances based on day ahead time-of-use tariff, critical peak pricing tariff and real-time pricing tariff. This technique formulates the scheduling problem as a mixed integer linear programming and the problem is resolved by commercial CPLEX solver.
Research Interests: Computer Science and IEEE
In modern power system, stability problem plays an important role. We can improve the dynamic stability of the power system by simultaneously tuning the SSSC based damping controller set with hybrid PSO-GSA algorithm (HPSOGSA). HPSOGSA... more
In modern power system, stability problem plays an important role. We can improve the dynamic stability of the power system by simultaneously tuning the SSSC based damping controller set with hybrid PSO-GSA algorithm (HPSOGSA). HPSOGSA technique is applied to search the optimal parameters of the controller. The optimization of the particle swarm optimization (PSO) is motivated by the social results of the flocks of birds, the gravity search algorithm (GSA) is based upon the intersection of gravity and mass. To realize and observe the performance of SSSC based damping controller, SMIB system is developed based on Phillips Haffron model. The given controller is employed in the model in the platform provided by MATLAB/ Simulink. Then, its analysis was carried out. Further, the performance of the SSSC based controller is improved with the uses of newly developed HPSO-GSA technique. The system developed was analyzed with two different cases of change in mechanical torque input and refere...
In this paper, the tuning of a power system stabilizer (PSS) and a static var compensator (SVC) based controller at the same time with Power system stability enhancement investigated in detail. The proposed damping stabilizer’s... more
In this paper, the tuning of a power system stabilizer (PSS) and a static var compensator (SVC) based controller at the same time with Power system stability enhancement investigated in detail. The proposed damping stabilizer’s coordination with the SVC internal voltage regulators has also been considered. The formulation of a design problem is done as an optimization problem with a time-domain objective function, which is based simulation. For optimal controller parameters, the optimization technique utilized here is real-Coded particle swarm optimization (PSO) technique. Under different disturbance like balance fault, unbalance fault, small disturbance, on a weekly connected power system the proposed stabilizers are tested. The nonlinear simulation results are presented to demonstrate the proposed control schemes effectiveness and ruggedness over a broad range of different disturbance conditions. Further, the proposed design approach is found to be robust and improves stability ef...
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This paper work the detail transient operation of a wind energy conversion system (WECS) used simultaneously as an active filter and power generator. This study is intended to address the system response to two types of transient... more
This paper work the detail transient operation of a wind energy conversion system (WECS) used simultaneously as an active filter and power generator. This study is intended to address the system response to two types of transient phenomena: voltage dips (fast transients) and wind speed variations (slow transients). The system response to voltage dips is governed by the electrical system dynamics and control method and results in the evaluation of the WECS low-voltage ride through capability. The study of the system response to wind speed variations requires a complete mechanical model to be included. Due to ever increasing energy consumption, rising public awareness of environmental protection, and steady progress in power deregulation, alternative (i.e., renewable and fuel cell based) distributed generation (DG) systems have attracted increased interest. Wind power generation is the most promising renewable energy technologies. The various energy sources such as wind/DG/Fuel Cell a...
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Gas Insulated Substations (GISs) have found a broad range of applications in power system over the last three decades because of their high reliability, easy maintenance, small ground space requirements, etc. Although GIS have been... more
Gas Insulated Substations (GISs) have found a broad range of applications in power system over the last three decades because of their high reliability, easy maintenance, small ground space requirements, etc. Although GIS have been involved in power systems since long time ago, some of the problems are of more attention. These problems include generation and propagation of very fast transient over-voltages (VFTO) during switching of circuit breakers or disconnector switches or earth faults. In this research the investigation is on VFTO by putting intelligible models for a GIS of a capacity 400 KV. This paper presents a modeling guideline for VFTO analysis in GIS and, further mitigation techniques such as Nano-crystalline Rings, RC Filter, RF Resonator etc. have been studied by MATLAB Software.VFTO effect on GIS such as stress on substation Transformer leading to winding deformation has been discussed in this paper andlocalization of deformation and type of deformation in transformer...
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Today power system stability is the major issue. FACTS devices play a very important role of stability consideration. In this paper we develop the model of multi-machine power system with FACTs controller is developed in MATLAB/SIMULINK.... more
Today power system stability is the major issue. FACTS devices play a very important role of stability consideration. In this paper we develop the model of multi-machine power system with FACTs controller is developed in MATLAB/SIMULINK. We use Static Synchronous Series Compensator (SSSC) due to high speed changes its reactance characteristic inductive to capacitive, is effective power flow controller. Tuning process of controller parameter can be performed using a different method. The optimal parameters for the proposed controller are obtained using particle swarm optimization (PSO) and genetic algorithm (GA). We compare two situations as an inter-area mode of oscillation and line power flow in the multi-machine system with 5 cycles self-clearing disturbance like 3-phase, L-L, L-L-G, L-G fault at PSO and GA technique. The simulation results obtainable through various graphs validated that PSO optimized SSSC damping controller is better than GA optimized SSSC controller. So PSO opt...
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The use of DC motor drive system has been in tradition for quite a long time. The reason being its good regulation of speed, starting is frequent, can be reversed and braked easily. As it is used in many industrial applications many of... more
The use of DC motor drive system has been in tradition for quite a long time. The reason being its good regulation of speed, starting is frequent, can be reversed and braked easily. As it is used in many industrial applications many of them require its speed to be controlled. Hence, the two method for controlling its speed is Armature voltage control and field control. The use of Armature voltage method has been demonstrated here in DC separately excited Motor drive. To further modifies its speed regulation process a controller is used. Two controllers are implemented Proportional Integral (PI) and Proportional Integral Derivative (PID). The parameters of these controllers are processed and enhanced via the use of Differential Evolution Algorithm (DE). The main objective of the present work is to have minimum rise and settling time while minimizing the maximum overshoot. To verify the performance of the given DE based PI and PID controller used in DC drive system, the result of thes...
Now a day’s power system is expanding due to increasing load demand. It is also typical task to maintain load demand and load frequency on behalf of stability limits. To meet load demand energy generator plays important role which uses... more
Now a day’s power system is expanding due to increasing load demand. It is also typical task to maintain load demand and load frequency on behalf of stability limits. To meet load demand energy generator plays important role which uses automatic generation control process to maintain stability limits and load demand. In this presented work we proposed whale optimization technique to get PIDN controller optimized parameters for load frequency control purpose. For this purpose, we consider hybrid system having two areas i.e. thermal (thermal system with no reheat turbine) and photovoltaic (PV) system. PV system is designed by maximum point tracking (MPPT). For various loading conditions and disturbances, simulation is performed for Area-1, Area-2, parameter variation of nominal loading, time constant of steam turbine (Tt), time constant of steam governor (Tg). Performance analysis is carried out by MATLAB /SIMULINK software and simulated results are compared with different optimizatio...
This paper is an emphasis on advanced energy management strategy and control of a stand-alone hybrid system. The hybrid systems consist of PV, wind and battery storage for rural domestic applications. Several types of different DC-DC... more
This paper is an emphasis on advanced energy management strategy and control of a stand-alone hybrid system. The hybrid systems consist of PV, wind and battery storage for rural domestic applications. Several types of different DC-DC converters utilized to control the power flow between load and source. The DC bus in the given system has MPPT controllers which provide optimal torque (OT). The storage system i.e. the battery is connected via DC-DC converter which is bidirectional in nature to the DC bus. The fuzzy based controller Inverter is used as the interface between the AC bus and DC bus. The hybrids system for power generation works within the constraints to satisfactorily fulfil power demand. Using an efficient control strategy for all the sources a continuous power supply is being aimed in this paper. Also, battery's state of charge (SOC) is aimed to be above 80%. The study and simulation results obtained shows that the system stabilizes within two cycle when load sudden...
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This paper represents an efficient method for an optimal tuning and placement of power system stabilizer (PSS). For this purpose, gray wolf optimization (GWO) technique is used to enhance the performance of power system. Developed... more
This paper represents an efficient method for an optimal tuning and placement of power system stabilizer (PSS). For this purpose, gray wolf optimization (GWO) technique is used to enhance the performance of power system. Developed optimization procedure handles the problem specific constraints related to low frequency oscillations in power system and PSS. Performance of proposed PSS tuning method is tested over two area four machine power systems at different fault position and operating conditions. Performance of the proposed GWO technique is also compared to CPSS nonlinear time domain simulation. Here we consider two conditions (2 PSS and 4 PSS) which are tested for three phase fault. We obtain various graph for inter area mode of oscillations, local area speed deviation of generator. We observe the results for various cases finally we find that proposed approach provide best optimal solution of low frequency oscillations in power system.
It is clear that fossil fuels provide a significant part of the global energy (84% in 2019) demand. Although the fossil fuels are easily available source of energy but they are not evenly distributed worldwide, finite resource and global... more
It is clear that fossil fuels provide a significant part of the global energy (84% in 2019) demand. Although the fossil fuels are easily available source of energy but they are not evenly distributed worldwide, finite resource and global environment has been significantly affected by it. Therefore, it is a major challenge for the whole planet to identify the types of potential energy sources to produce the required some of energy. Renewable energies are among the most potential sources to match the rapidly increasing global power demand. Hybrid system consisting solar and wind gives feasible solution for standalone application, as both are complimentary in nature and incorporation of the battery energy storage system increases the reliability and quality of overall system. The battery is used to store the surplus power and give back to the system when generated power is less then load requirement. This research work presents the control strategies for power quality improvement in standalone hybrid system during transient and validated through MATLAB/SIMULINK software.