Neural Network-Based Modeling of PEM fuel cell and Controller Synthesis of a stand-alone system for residential application
The paper is focused especially on presenting possibilities of applying artificial neural networks at creating the optimal model PEM fuel cell. Various ANN approaches have been tested; the back-propagation feed-forward networks show satisfactory performance with regard to cell voltage prediction. The model is then used in a power system for residential application. This models include an ANN fuel cell stack model, reformer model and DC/AC inverter model. Furthermore a neural network (NNTC) and fuzzy logic (FLC) controllers are used to control active power of PEM fuel cell system. The controllers modifies the hydrogen flow feedback from the terminal load. The validity of the controller is verified when the fuel cell system model is used in conjunction with the NNT controller to predict the response of the active power to: (a) computer-simulated step changes in the load active and reactive power demand, and (b) actual active and reactive load demand of a single family residence. Simulation results confirmed the high performance capability of the neural network (NNTC) to control power generation.
Keywords: Polymer-electrolyte fuel cell PEMFC; Electrochemical model; Modelling and Simulation; Fuzzy Logic Controller (FLC); Neural Network controller (NNTC)
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ABOUT THE AUTHORS
Khaled Mammar
assistant Professor of Electrical and Computer Engineering at the University of Bechar, Algeria He received his B.S degree in Electrical Engineering from the University of Sciences and Technology of Oran, Algeria, in1997, the M.S degree from the same University of Sciences and Technology of Oran, in 2002. And the PhD degree in 2011 from, E.N.S.E.T Oran Algeria. His research activities include Fuel cell systems, Power Control, Power Electronics, and Intelligence Artificial
Abdelkader Chaker
a Professor in the Department of Electrical Engineering at the ENSET, in Oran Algeria. He received a Ph.D. degree in Engineering Systems from the University of Saint-Petersburg. His research activities include the control of large power systems, multimachine multiconverter systems, and the unified power flow controller. His teaching includes neural process control and real time simulation of power system
Khaled Mammar
assistant Professor of Electrical and Computer Engineering at the University of Bechar, Algeria He received his B.S degree in Electrical Engineering from the University of Sciences and Technology of Oran, Algeria, in1997, the M.S degree from the same University of Sciences and Technology of Oran, in 2002. And the PhD degree in 2011 from, E.N.S.E.T Oran Algeria. His research activities include Fuel cell systems, Power Control, Power Electronics, and Intelligence Artificial
Abdelkader Chaker
a Professor in the Department of Electrical Engineering at the ENSET, in Oran Algeria. He received a Ph.D. degree in Engineering Systems from the University of Saint-Petersburg. His research activities include the control of large power systems, multimachine multiconverter systems, and the unified power flow controller. His teaching includes neural process control and real time simulation of power system
