Power Management System of a Particle Swarm Optimization Controlled Grid Integrated Hybrid PV/WIND/FC/Battery Distributed Generation System

Abstract

In this manuscript, the Power management of grid integrated hybrid dis-tributed generation (DG) system with Particle swarm optimization (PSO)algorithm is proposed. The hybrid DG system combines with photovoltaic,wind turbine, fuel cell, battery. Depending on the use of hybrid sources andthe changes of power production the variation of power can occurs in the DGsystem. The major purpose of the proposed method restrains the power flow(PF) on active with reactive power between the source and grid side. In thepower system control the proposed PSO method is utilized to maximize theactive with reactive PF and the controllers. The proposed method interact theload requirement energy and maintain the load sensitivity due to chargingand discharging battery control. In the DG system, the proposed PSO methodallows maximum power flow. To assess the PF, the constraints of equalityand inequality have been evaluated and they are utilized to determine theaccessibility of renewable energy source (RES), electricity demand, and thestorage elements of charge level. The protection of the power system is enhanced based on the proposed PSO method. Additionally, for retaininga stable output the renewable power system and battery is used. The pro-posed method is activated in MATLAB/Simulink working platform and theefficiency is likened with other existing methods.