Abstract
In this paper, an efficient optimization technique called Chaotic Harris Hawks optimization (CHHO) is proposed and applied for estimating the accurate operating parameters of proton exchange membrane fuel cell (PEMFC), which simulate and mimic its electrical performance. The conventional Harris Hawks optimization (HHO) is a recent optimization technique that is based on the hunting approach of Harris hawks. In this proposed optimization technique, ten chaotic functions are applied for tackling with the studied optimization problem. The CHHO is proposed to enhance the search capability of conventional HHO and avoid its trapping into local optima. The sum of squared errors (SSE) between the experimentally measured output voltage and the corresponding simulated ones is adopted as the objective function. The developed CHHO technique is tested on four various commercial PEMFC stacks to assess and validate its effectiveness compared with other well-known optimization techniques. A statistical study is performed to appreciate the stability and reliability of the proposed CHHO technique. However, the results show the effectiveness and superiority of proposed CHHO compared with the conventional HHO and other competitive metaheuristic optimization algorithms under the same study cases.
Highlights
With the continuous increase in the electric energy demand and the shortage in the reserves of fossil fuels, the need for a clean source of energy becomes necessary for small power applications and in large industrial applications
The optimal estimated parameters obtained by the proposed Chaotic Harris Hawks optimization (CHHO) techniques have been validated using measured data of a commercial proton exchange membrane fuel cell (PEMFC) stack provided in literature
The proposed CHHO algorithms are based on the conventional Harris Hawks Optimization Harris Hawks optimization (HHO) and ten chaotic functions
Summary
With the continuous increase in the electric energy demand and the shortage in the reserves of fossil fuels, the need for a clean source of energy becomes necessary for small power applications and in large industrial applications. Besides the most popular renewable energy sources (solar and wind), fuel cells are used in many applications and developed very fast to be a good competitor with these energy resources. Fuel cells have attracted the attention of many researchers and manufacturers. Fuel cells directly convert the chemical energy obtained from the. Based on the electrolyte type, there are many types of fuel cells. Among these cells, the proton exchange membrane fuel cell (PEMFC) is the most common type [5]. PEMFC received high attention from researchers thanks to its highpower density under low temperature of operation and its fast response against electrodynamic processes [7], [8]
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