Power Quality Improvement in Hybrid Renewable Energy Source Grid-Connected System with Grey Wolf Optimization

Abstract

Hybrid Renewable Energy Sources (HRES) such as Photovoltaic (PV) system, Wind Turbine (WT) and Battery Energy Storage System (BESS) into grid-connected system have been tremendously increasing its importance to meet the global energy demand. The integrated design mainly focuses on Power Quality (PQ) issues due to the non-linear load condition. Hence this paper proposes the Grey Wolf Optimization (GWO) with Unified Power Quality Conditioner (UPQC) to solve the PQ problems in HRES system. The UPQC performance is increased by Fractional Order Proportional Integral Derivative (FOPID) with Grey Wolf Optimization (GWO). The performance of the proposed method is compared with the various methods like Biogeography Based Optimization (BBO), Genetic Algorithm (GA), Genetic Search Algorithm (GSA) with existing PI controller and obtained the best results in terms of Total Harmonic Distortions (THD). The proposed system is implemented on MATLAB/Simulink platform