ZHANG Xiaotong, GE Yangyang, YAO Hongyu, et al. Operation control strategy of hydrogen production electrolytic cell based on particle swarm optimization algorithm[J]. Thermal power generation, 2023, 52(11): 115-122.
ZHANG Xiaotong, GE Yangyang, YAO Hongyu, et al. Operation control strategy of hydrogen production electrolytic cell based on particle swarm optimization algorithm[J]. Thermal power generation, 2023, 52(11): 115-122. DOI: 10.19666/j.rlfd.202302031.
The optimal scheduling and economy of new energy hydrogen production systems are closely related to hydrogen production efficiency. Aiming at the problem of low hydrogen production efficiency in existing new energy hydrogen production systems
this paper proposes a control strategy for new energy hydrogen production systems based on particle swarm optimization(PSO). Firstly
based on the polymer electrolyte membrane(PEM)electrolytic cell model
the relationship between the operating point of the electrolytic cell and the hydrogen production efficiency is analyzed. Secondly
a hydrogen production system operation control method based on particle swarm optimization algorithm is proposed to improve the hydrogen production efficiency of the hydrogen production system. Furthermore
an optimal scheduling model for new energy hydrogen production systems considering the efficiency of system hydrogen production was established
and particle swarm optimization algorithm was also used to solve the optimal hydrogen production power. Finally
through simulation analysis of actual power grid operation data
it is proved that the proposed control strategy can effectively improve the hydrogen production capacity and system revenue compared to traditional startup and shutdown strategies
providing a theoretical basis for the large-scale application of hydrogen production systems in power grids.