综合智慧能源

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配置压缩空气储能的绿氢系统容量配置和运行调度优化研究

郑昊宇, 周家辉, 仝冰, 王海鸣, 徐钢, 张资悦   

  1. 华北电力大学能源动力与机械工程学院, 北京 102206 中国
  • 收稿日期:2025-01-24 修回日期:2025-02-28
  • 基金资助:
    国家自然科学基金重大项目(52090064)

Research on capacity allocation and operation scheduling optimization of green hydrogen system with compressed air energy storage

  1. Faculty of Energy, Power and Mechanical Engineering, North China Electric Power University 102206, China
  • Received:2025-01-24 Revised:2025-02-28
  • Supported by:
    Major Program of the National Natural Science Foundation of China(52090064)

摘要: 为助力“碳达峰,碳中和”目标的实现,本文设计了配置压缩空气储能的绿氢系统。该绿氢系统离网运行,风力和光伏提供电能,压缩空气储能作为储能设备,以确保电解槽可以稳定长时间制取氢气。以该系统收益最大时为目标,建立绿氢数学模型,确定最佳的容量配置运行调度方案,通过仿真分析验证所提出的容量配置和运行调度优化策略的有效性和可行性,并对所制氢气进行经济性分析。结果表明:配置压缩空气储能的绿氢系统在经过设计优化后,弃电量仅为2%,可以实现该系统的高效运行并提高经济性。本研究为此绿氢系统的容量配置和运行调度提供了科学的决策支持,可为有关项目提供指导。

关键词: 风力发电, 光伏发电, 氢能, 压缩空气储能, 容量配置, 运行调度

Abstract: In order to help achieve the goal of "carbon peak and carbon neutrality", this paper designs a green hydrogen system equipped with compressed air energy storage. The green hydrogen system operates off-grid, with wind and photovoltaic power providing electricity and compressed air energy storage as energy storage equipment to ensure that the electrolyzer can produce hydrogen stably for a long time. With the goal of maximizing the benefits of the system, a mathematical model of green hydrogen was established to determine the optimal capacity allocation and operation scheduling scheme, and the effectiveness and feasibility of the proposed capacity allocation and operation scheduling optimization strategy were verified through simulation analysis, and the economic analysis of the hydrogen produced was carried out. The results show that the green hydrogen system with compressed air energy storage has only 2% of the curtailment after design optimization, which can realize the efficient operation of the system and improve the economy. This study provides scientific decision support for the capacity allocation and operation scheduling of the green hydrogen system, and can provide guidance for relevant projects.

Key words: wind power generation, photovoltaic power generation, hydrogen energy, Compressed air energy storage, capacity configuration, Run the schedule