Title :
Intelligent control based MPPT method for fuel cell power system
Author :
Venkateshkumar, M. ; Sarathkumar, G. ; Britto, S.
Abstract :
In this paper we have discussed with the maximum power point track of fuel cell power system using intelligent controller. We investigated in different types of MPPT method and its performance then finalized fuzzy logic based MPPT method for fuel cell system. This paper we have been analysis PEM fuel cell electrical characteristics with respect to fuel flow rate. The proposed fuzzy logic based MPPT system has been modelled in Matlab Simulink software and analysis system performance at various conditions under intelligent control then optimal fuel usage. The resulting waveforms have been evaluated and prove the effectiveness of the system.
Keywords :
fuel cell power plants; fuzzy logic; intelligent control; maximum power point trackers; proton exchange membrane fuel cells; MPPT method; Matlab Simulink software; PEM fuel cell; fuel cell power system; fuel flow rate; fuzzy logic; intelligent control; maximum power point track; optimal fuel usage; Analytical models; Fuel cells; Fuels; Fuzzy logic; Mathematical model; Maximum power point trackers; Power systems; Fuel cell; Fuzzy; MPPT; Matlab;
Conference_Titel :
Renewable Energy and Sustainable Energy (ICRESE), 2013 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICRESE.2013.6927825