Electric Power ›› 2023, Vol. 56 ›› Issue (10): 33-42.DOI: 10.11930/j.issn.1004-9649.202209013

• Key Technology of Hydrogen Energy and Its System Integration Control for the New Power System • Previous Articles     Next Articles

Optimal Allocation of Hydrogen Storage Capacity Based on Improved Cat Swarm Optimization

Zhenda HU1(), Wenjin JIANG2, Linyao ZHANG1, Xiaodong YANG2, Yichao ZOU1(), Kai WANG3   

  1. 1. Economic and Technical Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou 350012, China
    2. State Grid Fujian Electric Power Co., Ltd., Fuzhou 350003, China
    3. Fujian Yongfu Power Engineering Co., Ltd., Fuzhou 350108, China
  • Received:2022-09-05 Accepted:2022-12-04 Online:2023-10-23 Published:2023-10-28
  • Supported by:
    This work is supported by Science and Technology Project of State Grid Fujian Electric Power Company Limited (Research on Supply and Demand Support Capability of New Power System Based on Probabilistic Risk Assessment of Supply and Demand Imbalance, No.B3130N22000R).

Abstract:

Based on the hydrogen energy storage system, a hybrid microgrid system with wind power generation and hydrogen energy storage system as the main components has been constructed. This article optimizes the capacity configuration of electrolytic cells, fuel cells, and hydrogen storage tanks in hydrogen energy storage systems. A capacity optimization configuration model for hydrogen energy storage systems was constructed by comprehensively considering the economic cost, power supply reliability, and wind abandonment rate of microgrids; Establish a capacity optimization model for hydrogen storage systems using wind power output and load from typical day and scenario sets, to reflect the impact of the randomness of wind power output and load on the optimization results; Using an improved cat swarm algorithm with dynamic weights, the capacity optimization configuration model of the proposed hydrogen energy storage system is solved. The feasibility of using the improved cat swarm algorithm to solve the capacity optimization configuration model of hydrogen storage system was verified through numerical examples, and the rationality of the proposed hydrogen storage system capacity optimization configuration model was also demonstrated.

Key words: hydrogen storage system, optimal allocation of capacity, improved cat swarm algorithm, wind power, power supply reliability