Fuzzy-PID controller for MPPT of PV system optimized by Big Bang-Big Crunch algorithm

This paper presents a Fuzzy-PID controller for maximum power point tracking (MPPT) of photovoltaic (PV) systems. A DC/DC buck converter to regulate the output power of the photovoltaic system is considered. The Fuzzy-PID scheme operates on MPP and improves the performance of solar energy conversion efficiency. The offline optimization algorithm of Big Bang - Big Crunch (BB-BC) is applied on the parameters of the proposed controller and upgrades the overall performance of the controller. The prime contribution of this study is a simple and effective solution for MPPT. The optimized fuzzy-PID controller is compared with a fuzzy-PID controller set up by the trial and error method in order to highlight the contribution of the offline algorithm in the overall performance of the system. The tuned controller is also compared to the conventional perturbation and observation (P&O) method, with a Fuzzy-PID optimized by Particle Swarm Optimization algorithm (PSO).