MAXIMUM POWER POINT TRACKING OF MICROBIAL FUEL CELL BASED ON FIREFLY OPTIMIZATION FUZZY P&O
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.
microbial fuel cellmaximum power point trackingfuzzy controlfirefly algorithm
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