Comparison among various energy management strategies for reducing hydrogen consumption in a hybrid fuel cell/supercapacitor/battery system |
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| Authors: | Hegazy Rezk Ahmed M Nassef Mohammad Ali Abdelkareem Abdul Hai Alami Ahmed Fathy |
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| Affiliation: | 1. College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Saudi Arabia;2. Electrical Engineering Dept., Faculty of Engineering, Minia University, Egypt;3. Computers and Automatic Control Engineering Department, Faculty of Engineering, Tanta University, Egypt;4. Dept. of Sustainable and Renewable Energy Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates;5. Center for Advanced Materials Research, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates;6. Chemical Engineering Department, Faculty of Engineering, Minia University, Egypt;7. Electrical Engineering Department, Faculty of Engineering, Jouf University, Saudi Arabia;8. Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Egypt |
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| Abstract: | The aim of this study is to introduce a comprehensive comparison of various energy management strategies of fuel cell/supercapacitor/battery storage systems. These strategies are utilized to manage the energy demand response of hybrid systems, in an optimal way, under highly fluctuating load condition. Two novel strategies based on salp swarm algorithm (SSA) and mine-blast optimization are proposed. The outcomes of these strategies are compared with commonly used strategies like fuzzy logic control, classical proportional integral control, the state machine, equivalent fuel consumption minimization, maximization, external energy maximization, and equivalent consumption minimization. Hydrogen fuel economy and overall efficiency are used for the comparison of these different strategies. Results demonstrate that the proposed SSA management strategy performed best compared with all other used strategies in terms of hydrogen fuel economy and overall efficiency. The minimum consumed hydrogen and maximum efficiency are found 19.4 gm and 85.61%, respectively. |
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| Keywords: | Energy management Optimization Fuel cell Supercapacitor Battery Hydrogen consumption |
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