Frequency Control using Different Optimization Techniques of a Standalone PV-Wind-Diesel with BESS Hybrid System

Abstract

Renewable energy sources are essential in a stand-alone hybrid system. Modeling and optimization of stand-alone hybrid microgrid systems based on solar, wind, and diesel with batteries are presented in this work. In a microgrid, frequency management is a major problem, and the primary aim is to reduce frequency variations under varying operating/load conditions. For this purpose, a PI controller is used in this work and its regulating parameters are optimized by using a Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Firefly (FF), and Cuckoo Search algorithms (CSA). Simulation results show a significant improvement in results.