A Particle Swarm Optimization based Maximum P...

A Particle Swarm Optimization based Maximum Power Point Tracking for Fuel Cell compared with P&O algorithm

Author Name : Masoumeh Rezanejhad, Mohammad sarvi

Abstract: Devices for storage the electrical energy have become increasingly attractive. Fuel cell is a clean and efficient source of electricity. One of the most important factors to increase the density of energy and optimization of the fuel cell stack is utilization of maximum power point tracking (MPPT) algorithm [1]. In this paper a particle swarm optimization (PSO) maximum power point tracking is proposed. Simulations are performed in MATLAB/SIMULINK software. A system includes one proton exchange membrane & 6 KW fuel cell, a DC/DC converter, a resistive load and a maximum power point tracking algorithm control is analyzed and simulated. The simulation result of the proposed PSO MPPT is compared with a (P&O) method. The results verify the accuracy of the proposed scheme. Also the results show that the proposed method has better characteristic and performance in compare with P&O methods.[2]