The Study on the Performance of Different Optimization Algorithms in Maximum Power Point Tracking for a Standalone Photovoltaic System

Abstract

Performance evaluation of maximum power point tracking with a boost converter was presented in this paper. Several MPPT methods have recently been considered as alternatives to conventional MPPT methods, which have high steady-state oscillation and low efficiency. In order to solve the aforementioned issues, a soft computing method is suggested. Under MATLAB/Simulink, the efficiency of P&O, PSO and SSA was evaluated. The MPPT algorithms were tested under three main conditions which are under high irradiance (1000 W/m²), medium irradiance (600 W/m²,) and low irradiance (200 W/m²). Based on the simulation results, Salp Swarm Algorithm (SSA) method shows the best MPPT method with 89.95%, 99.90% and 98.38% tracking efficiency under high, medium and low irradiances respectively. SSA was the best method in terms of high efficiency, no steady-state oscillations and fast convergence.