Maximum Power Extraction For Hybrid Solar Wind Renewable Energy System Based on Swarm Optimization

Abstract

This paper aims to extract maximum power for a hybrid solar-wind renewable energy system using Particle Swarm Optimization (PSO) for standalone applications. The hybrid renewable energy system (HRES) employed is integration between wind and solar energy. A permanent magnet synchronous generator (PMSG) is connected to a converter circuit in a wind energy system. Maximum power extraction based on PSO works to achieve optimal power on HRES by adjusting the duty cycle for the boost converter for each energy source system based on current and voltage measurements. The inverter connects the DC boost and load, and the DC bus voltage is kept constant by the inverter's duty cycle adjustment using a PI controller. PSO performance is analyzed through the changes in wind speed and solar irradiation, as maximum power extraction. According to the simulation result, PSO can track the maximum power against changes in wind speed and solar irradiation. PSO has a better performance compared to P&O methods, and constant DC bus voltage can be maintained.