A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with ... more A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with specific parameters. For a PV system simulation and operation, the solar cell parameters must be precisely calculated using experimental data. Unknown parameters extraction of the solar PV system is necessary to analyze the system performance using I‐V characteristics under various operating conditions such as variable solar radiation and temperatures. However, the solar PV model problem is highly nonlinear in nature. To solve this problem, an efficient algorithm is necessary. Hence, in this study, we proposed a novel metaheuristic optimization algorithm inspired by ancient times' war strategy. The proposed war strategy optimization (WSO) algorithm is developed based on the army troop's strategic movement during the war. War strategy is modeled as an optimization process wherein each soldier dynamically moves toward the global best optimum value. Every soldier is assigned with a unique weight and their current position is dynamically updated based on the success rate of the previous iteration. The objective function employed in prior research of solar PV model parameter extraction is erroneous. However, in this work, we integrated the Newton Raphson method with the WSO algorithm to improve the accuracy of the output solutions. The experimental results prove that the proposed algorithm has shown superior performance when compared with the state‐of‐the‐art algorithms.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2022
The paper is all about the implementation of a novel bio-inspired metaheuristic salp swarm algori... more The paper is all about the implementation of a novel bio-inspired metaheuristic salp swarm algorithm (SSA) for speed control of brushless DC (BLDC) motor drive that is run in sensorless control mode. The angular speed of the motor is evaluated using an extended kalman filter, in which the dynamics of the motor are nonlinear. The error in speeds between actual and estimated is fed to the PID controller. To achieve the good transient operation of the motor drive, the parameters of the PID are tuned with the SSA. The optimum PID gains are determined by the minimization of integral square error and then final optimum gains are validated on the laboratory testbed. The proposed method is also tested in various cases to check the performance of the drive. The experiments are also performed at low speeds to know the superiority of the proposed method.
Doubly fed induction generator (DFIG) based wind energy system is susceptible to grid faults and ... more Doubly fed induction generator (DFIG) based wind energy system is susceptible to grid faults and perturbations. This article proposes a robust control law to enhance the transient stability of the conventional vector controlled DFIG Wind Power System. The conventional vector controlled DFIG system with proportional integral control is integrated with Super Twisting Like Algorithm (STLA). In order to achieve fixed time convergence with reduced chattering, the inner current controller is configured with super twisting like algorithm. The proposed control structure improves the overall performance of the wind energy system under various grid disturbances. The proposed control approach is evaluated by testing on 9-MW grid-connected wind farm and as well as in the multi-machine power systems. The proposed method is compared with vector control based on PI control and super-twisting control, and simulation results under different operating scenarios demonstrate the efficacy and robust stability of the proposed method.
International Journal of Power Electronics and Drive Systems (IJPEDS)
The paper is all about the implementation of a novel bio-inspired metaheuristicsalp swarm algorit... more The paper is all about the implementation of a novel bio-inspired metaheuristicsalp swarm algorithm (SSA) for speed control of brushless DC(BLDC) motor drive that is run in sensorless control mode. The angularspeed of the motor is evaluated using an extended kalman filter, in which thedynamics of the motor are nonlinear. The error in speeds between actual andestimated is fed to the PID controller. To achieve the good transientoperation of the motor drive, the parameters of the PID are tuned with theSSA. The optimum PID gains are determined by the minimization of integralsquare error and then final optimum gains are validated on the laboratorytestbed. The proposed method is also tested in various cases to check theperformance of the drive. The experiments are also performed at low speedsto know the superiority of the proposed method.
The paper implemented a recently developed grasshopper optimization algorithm for speed response ... more The paper implemented a recently developed grasshopper optimization algorithm for speed response improvement during transient and steady-state conditions for a BLDC motor drive. An objective function is formulated to reduce the integral square error in such a way that the gains of speed control (PID) are optimally tuned. To know the validity of the present approach, simulation experiments are conducted extensively to get the proper tuning of PID gains in MATLAB/Simulink and then the same gains can be used in off-line for the hardware implementation.
State estimation of power systems is essential for continuous monitoring and control of power sys... more State estimation of power systems is essential for continuous monitoring and control of power systems. Since the Power system is nonlinear, Extended Kalman Filter (EKF) is useful for the estimation of dynamic states. One of the major challenges in the design of the EKF is tuning of covariance matrices. Tuning of EKF by trial and error method requires huge computation time and intense decision making. The objective of this paper is to design an Extended Kalman filter for a synchronous machine connected to an infinite bus and enhance the filter performance by tuning it using two lbest particle swarm optimization technique. The above designed filter is tested for various operating conditions and the simulation results show the superior performance of the filter in terms of measurement and process noise rejection and accuracy.
Smart Intelligent Computing and Applications, 2018
Brushless DC motor (BLDC) is increasingly being used in many practical applications, and the spee... more Brushless DC motor (BLDC) is increasingly being used in many practical applications, and the speed tracking performance of closed-loop control has been an important issue for high-performance applications. In spite of many available nonlinear and adaptive controllers, the PID controller is still being used as speed controller because of its simple structure and easy to implement. However, the tuning of PID gains is a tedious process to achieve the desired performance. This paper focuses on the design of speed controller, and tuning its gains is grey wolf optimization. An objective function is formulated based on integral square error of speed error so as to improve the transient and steady-state performance. The objective function is minimized using grey wolf optimization (GWO). The proposed idea is evaluated by simulating the system under various operating conditions, and further, the experimental results show the supremacy of the controller.
Protection and Control of Modern Power Systems, 2020
This paper presents a novel composite wide area control of a DFIG wind energy system which combin... more This paper presents a novel composite wide area control of a DFIG wind energy system which combines the Robust Exact Differentiator (RED) and Discontinuous Integral (DI) control to damp out inter-area oscillations. RED generates the real-time differentiation of a relative speed signal in a noisy environment while DI control, an extension to a twisting algorithm and PID control, develops a continuous control signal and hence reduces chattering. The proposed control is robust to disturbances and can enhance the overall stability of the system. The proposed composite sliding mode control is evaluated using a modified benchmark two-area power system model with wind energy integration. Simulation results under various operating scenarios show the efficacy of the proposed approach.
This paper presents a recently proposed grasshopper algorithm for speed control of BLDC motor dri... more This paper presents a recently proposed grasshopper algorithm for speed control of BLDC motor drive in closed loop. The main objective of this paper is to obtain optimal PID gains of speed controller at different operating conditions. The efficient PID tuning is based on minimisation of integral square error which is the objective function of this optimisation problem. The PID controller is used for speed control of the BLDC motor drive. The drive has been simulated in MATLAB/Simulink environment and is tested at different reference speeds.
A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with ... more A photovoltaic (PV) module or a solar cell is electrically characterized by a circuit model with specific parameters. For a PV system simulation and operation, the solar cell parameters must be precisely calculated using experimental data. Unknown parameters extraction of the solar PV system is necessary to analyze the system performance using I‐V characteristics under various operating conditions such as variable solar radiation and temperatures. However, the solar PV model problem is highly nonlinear in nature. To solve this problem, an efficient algorithm is necessary. Hence, in this study, we proposed a novel metaheuristic optimization algorithm inspired by ancient times' war strategy. The proposed war strategy optimization (WSO) algorithm is developed based on the army troop's strategic movement during the war. War strategy is modeled as an optimization process wherein each soldier dynamically moves toward the global best optimum value. Every soldier is assigned with a unique weight and their current position is dynamically updated based on the success rate of the previous iteration. The objective function employed in prior research of solar PV model parameter extraction is erroneous. However, in this work, we integrated the Newton Raphson method with the WSO algorithm to improve the accuracy of the output solutions. The experimental results prove that the proposed algorithm has shown superior performance when compared with the state‐of‐the‐art algorithms.
International Journal of Power Electronics and Drive Systems (IJPEDS), 2022
The paper is all about the implementation of a novel bio-inspired metaheuristic salp swarm algori... more The paper is all about the implementation of a novel bio-inspired metaheuristic salp swarm algorithm (SSA) for speed control of brushless DC (BLDC) motor drive that is run in sensorless control mode. The angular speed of the motor is evaluated using an extended kalman filter, in which the dynamics of the motor are nonlinear. The error in speeds between actual and estimated is fed to the PID controller. To achieve the good transient operation of the motor drive, the parameters of the PID are tuned with the SSA. The optimum PID gains are determined by the minimization of integral square error and then final optimum gains are validated on the laboratory testbed. The proposed method is also tested in various cases to check the performance of the drive. The experiments are also performed at low speeds to know the superiority of the proposed method.
Doubly fed induction generator (DFIG) based wind energy system is susceptible to grid faults and ... more Doubly fed induction generator (DFIG) based wind energy system is susceptible to grid faults and perturbations. This article proposes a robust control law to enhance the transient stability of the conventional vector controlled DFIG Wind Power System. The conventional vector controlled DFIG system with proportional integral control is integrated with Super Twisting Like Algorithm (STLA). In order to achieve fixed time convergence with reduced chattering, the inner current controller is configured with super twisting like algorithm. The proposed control structure improves the overall performance of the wind energy system under various grid disturbances. The proposed control approach is evaluated by testing on 9-MW grid-connected wind farm and as well as in the multi-machine power systems. The proposed method is compared with vector control based on PI control and super-twisting control, and simulation results under different operating scenarios demonstrate the efficacy and robust stability of the proposed method.
International Journal of Power Electronics and Drive Systems (IJPEDS)
The paper is all about the implementation of a novel bio-inspired metaheuristicsalp swarm algorit... more The paper is all about the implementation of a novel bio-inspired metaheuristicsalp swarm algorithm (SSA) for speed control of brushless DC(BLDC) motor drive that is run in sensorless control mode. The angularspeed of the motor is evaluated using an extended kalman filter, in which thedynamics of the motor are nonlinear. The error in speeds between actual andestimated is fed to the PID controller. To achieve the good transientoperation of the motor drive, the parameters of the PID are tuned with theSSA. The optimum PID gains are determined by the minimization of integralsquare error and then final optimum gains are validated on the laboratorytestbed. The proposed method is also tested in various cases to check theperformance of the drive. The experiments are also performed at low speedsto know the superiority of the proposed method.
The paper implemented a recently developed grasshopper optimization algorithm for speed response ... more The paper implemented a recently developed grasshopper optimization algorithm for speed response improvement during transient and steady-state conditions for a BLDC motor drive. An objective function is formulated to reduce the integral square error in such a way that the gains of speed control (PID) are optimally tuned. To know the validity of the present approach, simulation experiments are conducted extensively to get the proper tuning of PID gains in MATLAB/Simulink and then the same gains can be used in off-line for the hardware implementation.
State estimation of power systems is essential for continuous monitoring and control of power sys... more State estimation of power systems is essential for continuous monitoring and control of power systems. Since the Power system is nonlinear, Extended Kalman Filter (EKF) is useful for the estimation of dynamic states. One of the major challenges in the design of the EKF is tuning of covariance matrices. Tuning of EKF by trial and error method requires huge computation time and intense decision making. The objective of this paper is to design an Extended Kalman filter for a synchronous machine connected to an infinite bus and enhance the filter performance by tuning it using two lbest particle swarm optimization technique. The above designed filter is tested for various operating conditions and the simulation results show the superior performance of the filter in terms of measurement and process noise rejection and accuracy.
Smart Intelligent Computing and Applications, 2018
Brushless DC motor (BLDC) is increasingly being used in many practical applications, and the spee... more Brushless DC motor (BLDC) is increasingly being used in many practical applications, and the speed tracking performance of closed-loop control has been an important issue for high-performance applications. In spite of many available nonlinear and adaptive controllers, the PID controller is still being used as speed controller because of its simple structure and easy to implement. However, the tuning of PID gains is a tedious process to achieve the desired performance. This paper focuses on the design of speed controller, and tuning its gains is grey wolf optimization. An objective function is formulated based on integral square error of speed error so as to improve the transient and steady-state performance. The objective function is minimized using grey wolf optimization (GWO). The proposed idea is evaluated by simulating the system under various operating conditions, and further, the experimental results show the supremacy of the controller.
Protection and Control of Modern Power Systems, 2020
This paper presents a novel composite wide area control of a DFIG wind energy system which combin... more This paper presents a novel composite wide area control of a DFIG wind energy system which combines the Robust Exact Differentiator (RED) and Discontinuous Integral (DI) control to damp out inter-area oscillations. RED generates the real-time differentiation of a relative speed signal in a noisy environment while DI control, an extension to a twisting algorithm and PID control, develops a continuous control signal and hence reduces chattering. The proposed control is robust to disturbances and can enhance the overall stability of the system. The proposed composite sliding mode control is evaluated using a modified benchmark two-area power system model with wind energy integration. Simulation results under various operating scenarios show the efficacy of the proposed approach.
This paper presents a recently proposed grasshopper algorithm for speed control of BLDC motor dri... more This paper presents a recently proposed grasshopper algorithm for speed control of BLDC motor drive in closed loop. The main objective of this paper is to obtain optimal PID gains of speed controller at different operating conditions. The efficient PID tuning is based on minimisation of integral square error which is the objective function of this optimisation problem. The PID controller is used for speed control of the BLDC motor drive. The drive has been simulated in MATLAB/Simulink environment and is tested at different reference speeds.
Uploads