Particle Swarm Optimization Based Intelligent Controller for Maximum Power Point Tracking of a Standalone Solar Photovoltaic Power System

摘要

Photovoltaic (PV) system is a green and nonconventional energy source. The prime goal is to draw the highest energy to satisfy the demand by using the PV cell at the peak or maximum powerpoint. This study suggests a particle swarm optimization (PSO) based proportional-integral-differential (PID) controller to track the maximum power point (MPP) of a photovoltaic (PV) system. The PSO-PID controller minimized the fluctuations in the equilibrium state, transients, and the response is found to be quicker as compared to the perturb and observe (P&O) assisted fuzzy logic controller (FLC) as the maximum power point tracker. The suggested PSO-PID MPPT based solar PV energy system is shaped and the outcomes are verified in MATLAB/SIMULINK.