FREQUENCY CONTROL OF AN ISOLATED HYBRID POWER SYSTEM USING PARTICLE SWARM OPTIMIZATION OPTIMIZED PID CONTROLLER

Abstract

The mitigation of frequency fluctuation using Particle Swarm Optimization (PSO) based controllers for an isolated hybrid power system is explored in this paper. The proposed system consists of solar photovoltaic (PV), electric water heater (EWH) and diesel engine generator (DEG) and battery energy storage system (BESS). The intermittent output power of PV and load variations cause frequency fluctuations with several adverse effects on the power system. This paper presents a methodology for maintaining system frequency within acceptable employing electric water heater as a controllable load. The generating units and EWH system are equipped with PSO based proportional–integral (PI)/ proportional–integral–derivative (PID) controllers. The solutions obtained through the optimization are capable of handling higher variations in the controllers’ gains without a significant decrease in the system performance. Also, a comparison is made between the PI and PID controllers to show the effectiveness of the proposed scheme. MATLAB/Simulink was used for simulation to verify the performance of the proposed system.