To address the issues of improving electricity utilization and hydrogen production stability in photovoltaic hydrogen production systems
a dynamic coordination control strategy based on maximum efficiency point tracking is proposed
considering both the advantages of direct coupling for high electricity utilization and indirect coupling for flexibility and control. First
photovoltaic power generation models
electrolysis hydrogen production efficiency models
and battery voltage regulation models are established. In off-grid mode
the particle swarm optimization algorithm and sliding mode control are used to achieve maximum efficiency point tracking for the electrolyzer. Then
based on the maximum output power of the photovoltaic system and the battery's state of charge
dynamic coordination control optimization of the photovoltaic hydrogen production system is performed. Finally
the algorithm is validated through simulations. The results show that the proposed method can flexibly switch between five different operating conditions by evaluating the maximum output power of the photovoltaic system and the battery's state of charge. It can also track the maximum efficiency point in real-time when the operating temperature changes
thus improving the system's energy conversion efficiency and reducing current ripple.
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