Improved Hybrid Simulated Annealing and Particle Swarm Optimization for Maximum Power Point Tracking

Abstract

This paper proposes an Improved Hybrid Simulated Annealing and Particle Swarm Optimization (ISA-PSO) which is applied in the maximum power point tracking (MPPT) of photovoltaic generation system. ISA-PSO combined with Simulated Annealing (SA) and Particle Swarm Optimization (PSO), using SA's escaping mechanism to improve the shortcomings of PSO slow convergence and easy to fall into the local optimal solution. The overall search ability is increase and the tracking time is reduced. This paper uses MATLAB to simulate MPPT. Through the simulation comparison with PSO, SA, SA-PSO, it can be verified that ISA-PSO scheme is better than other algorithms. In the temperature changing simulation, the efficiency is 97.03% and the tracking speed is reduced to 2.31 second. In the illumination changing simulation, the efficiency is 97.12% and the tracking speed is reduced to 2.27 second. Keywords- Maximum Power Point Tracking, Improved Hybrid Simulated Annealing and Particle Swarm Optimization, Photovoltaic Generation System.