A novel strategy based on salp swarm algorithm for extracting the maximum power of proton exchange membrane fuel cell |
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| Authors: | Ahmed Fathy Mohammad Ali Abdelkareem AG Olabi Hegazy Rezk |
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| Affiliation: | 1. Electrical Engineering Department, Faculty of Engineering, Jouf University, Saudi Arabia;2. Electrical Power and Machine Department, Faculty of Engineering, Zagazig University, Egypt;3. Dept. of Sustainable and Renewable Energy Engineering, University of Sharjah, P.O. Box 27272, Sharjah, United Arab Emirates;4. Center for Advanced Materials Research, University of Sharjah, PO Box 27272, Sharjah, United Arab Emirates;5. Chemical Engineering Department, Faculty of Engineering, Minia University, Egypt;6. Mechanical Engineering and Design, Aston University, School of Engineering and Applied Science, Aston Triangle, Birmingham, B4 7ET, UK;7. College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, 11991, Wadi Aldawaser, Saudi Arabia;8. Electrical Engineering Department, Faculty of Engineering, Minia University, 61111, Minia, Egypt |
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| Abstract: | Cell temperature and water content of the membrane have a significant effect on the performance of fuel cells. The current-power curve of the fuel cell has a maximum power point (MPP) that is needed to be tracked. This study presents a novel strategy based on a salp swarm algorithm (SSA) for extracting the maximum power of proton-exchange membrane fuel cell (PEMFC). At first, a new formula is derived to estimate the optimal voltage of PEMFC corresponding to MPP. Then the error between the estimated voltage at MPP and the actual terminal voltage of the fuel cell is fed to a proportional-integral-derivative controller (PID). The output of the PID controller tunes the duty cycle of a boost converter to maximize the harvested power from the PEMFC. SSA determines the optimal gains of PID. Sensitivity analysis is performed with the operating fuel cell at different cell temperature and water content of the membrane. The obtained results through the proposed strategy are compared with other programmed approaches of incremental resistance method, Fuzzy-Logic, grey antlion optimizer, wolf optimizer, and mine-blast algorithm. The obtained results demonstrated high reliability and efficiency of the proposed strategy in extracting the maximum power of the PEMFC. |
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| Keywords: | PEMFC MPPT Salp swarm algorithm Energy efficiency |
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