RFLSA control scheme for power quality disturbances mitigation in DSTATCOM with n-level inverter connected power systems

Abstract

In this paper, a hybrid control scheme is proposed for power quality mitigation in DSTATCOM connected n-level inverter system. The proposed hybrid control scheme is the joined execution of both the random forest search algorithm and lightning search algorithm (RFLSA). The novelty of the proposed hybrid control scheme is enhanced prediction capability with the involvement of lightning search algorithm (LSA), reliability, adaptive for all parameter variations and less execution time. Here, the gain parameters of the PI controller are predicted to provide the optimal control signal of the DSTATCOM using proposed RFLSA technique. The proposed method prediction process considers all type of variations in the system parameters like DC voltage, real and reactive power. Based on the minimum error objective function, the learning process of random forest search algorithm (RFSA) is enhanced by using the lightning search algorithm (LSA). Then, the proposed technique is implemented in the MATLAB/Simulink platform and the performance is evaluated. The behavior of the proposed technique has been successfully compared with existing techniques. Simulation results shows that the proposed technique has the capability of ensuring satisfactory dynamic response, high efficiency and diminished harmonics.