Maximum power point tracking of proton exchange membrane fuel cells system using the fuzzy-particle swarm optimization algorithm

With the present global scenario of electricity generation, distribution and meeting the consumer demand, fuel cell power generation technology is gaining important on its own way as it has many advantages like less environmental pollution, high efficiency, cleanliness and safe operation. This paper presents a new fuzzy logic control (FLC) technique tuned by particle swarm optimization (PSO) method for maximum power point tracking of proton exchange membrane fuel cell (PEMFC) system. Simulations are performed in MATLAB/SIMULINK environment. The results of the proposed method are compared with the conventional perturbation and Observation (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 is compared with P&O and conventional PSO methods.

Keywords:

Fuzzy , Particle Swarm Optimization , Fuel Cell , Maximum Power Point Tracking