USING ARTIFICIAL IMMUNE SYSTEM FOR OPTIMAL CONFIGURATION OF FUEL CELL-BASED STAND ALONE POWER SUPPLY SYSTEM

Abstract

For delivering the maximum power output at the load’s operating voltage, the fuel cell-based stand alone power supply system has to be configured in terms of number of cells in series, number of cells in parallel, and cell’s surface area. In this paper, in order to optimize a stand alone power supply system of proton exchange membrane fuel cell (PEMFC), an artificial immune system (AIS) based on the clonal selection algorithm is proposed. For this aim, a mathematical model for the PEMFC stack is introduced, then, based on this model an AIS code is developed in the Matlab environment. The results manifest that the AIS is a reliable technique for finding the optimal configuration of the fuel cell stack

Keywords

• Fuel cell-based stand alone power supply system, Stack configuration, Artificial immune system

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