MAXIMUM POWER POINT TRACKING OF MICROBIAL FUEL CELL BASED ON FIREFLY OPTIMIZATION FUZZY P&#x00026;O

Fan Liping; Chen Qipeng

doi:10.19912/j.0254-0096.tynxb.2022-1959

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Acta Energiae Solaris Sinica ›› 2024, Vol. 45 ›› Issue (4) : 373-381. DOI: 10.19912/j.0254-0096.tynxb.2022-1959

MAXIMUM POWER POINT TRACKING OF MICROBIAL FUEL CELL BASED ON FIREFLY OPTIMIZATION FUZZY P&O

Fan Liping^1,2, Chen Qipeng^1,2

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Abstract

Aiming at the problems of low power and unstable output of microbial fuel cells, a maximum power point tracking control algorithm with a mixture of firefly optimization and fuzzy modified perturb & observe（P&O） is proposed. Using the global optimization ability of dual-species firefly optimization algorithm and the logic reasoning ability of fuzzy control, more accurate control signals are generated, and the equivalent load is dynamically adjusted through a Boost converter. The results show that the maximum power point tracking algorithm based on dual species firefly optimization mixed with fuzzy modified perturb & observe can track and stabilize at the maximum power point at a faster speed, reduce the steady-state error, suppress power oscillation, enhance the anti-interference ability, and significantly improve the power generation capacity and power supply quality of microbial fuel cells.

Key words

microbial fuel cell / maximum power point tracking / fuzzy control / firefly algorithm

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Fan Liping, Chen Qipeng. MAXIMUM POWER POINT TRACKING OF MICROBIAL FUEL CELL BASED ON FIREFLY OPTIMIZATION FUZZY P&O[J]. Acta Energiae Solaris Sinica. 2024, 45(4): 373-381 https://doi.org/10.19912/j.0254-0096.tynxb.2022-1959

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