An Elephant Herding Optimization Algorithm-Based Static Switched Filter Compensation Scheme for Power Quality Improvement in Smart Grid

Abstract

Power quality (PQ) issue is referred to as any problem that exposes in the voltage and current or in frequency value that causes a malfunction of protection devices or maloperation of the system. The improvement of the PQ is important at the load side when the production processes get more complicated and require a bigger liability level. An Elephant Herding Optimization (EHO) algorithm is presented for improving the PQ and reducing the harmonic distortion using the Static Switched Filter Compensation (SSFC) in Photovoltaic (PV) interconnected wind energy conversion system (WECS). The novelty of the proposed system is enhancing the performance of the grid-connected hybrid energy system such as stabilizing the voltage, reducing the power loss and mitigating the harmonic distortion using the SSFC. Here, the proposed controller is used to optimize the control pulses for SSFC. The SSFC and voltage-source converters with smart dynamic controllers are emerging as stabilization and power filtering equipment to improve the PQ. The proposed method has implemented in MATLAB/Simulink platform and their performances are evaluated and contrasted with the existing technologies such as Bat algorithm (BA) and Firefly algorithm (FA) techniques.