综合智慧能源

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家庭用户燃料电池热电联供系统能量管理策略及配置优化研究

刘铠诚, 王松岑, 何桂雄, 贾晓强, 李佳昕, 王进, 续宏   

  1. 电网安全全国重点实验室, 北京 100192 中国
    中国电力科学研究院有限公司, 北京 100192 中国
    国网山西省电力公司电力科学研究院, 山西 030001 中国
  • 收稿日期:2024-10-29 修回日期:2024-12-21
  • 基金资助:
    国家电网科技项目(5419-202155344A-0-0-00)

Research on energy management strategy and configuration optimization of fuel cell cogeneration system for residential users

  1. , 100192, China
    , 030001, China
  • Received:2024-10-29 Revised:2024-12-21
  • Supported by:
    Science and Technology Project of State Grid under Grant of Research(5419-202155344A-0-0-00)

摘要: 针对家庭用户用能场景,开展包含燃料电池、电解池、蓄电池、储氢罐、储热水箱等模块的氢燃料电池热电联供系统多单元数学模型建立。分析了典型地区用电、用热符合需求,提出家庭用户典型日负荷曲线。分别针对峰谷电利用和清洁能源消纳两种典型场景提出了系统能量管理策略,并通过多参数联合调试获得了初步参数配置方案。采用粒子群优化算法,以经济性为目标函数,开展了系统配置优化研究,优化后峰谷电利用和清洁能源消纳场景下系统年均成本分别下降了7.14%和6.15%。

关键词: 热电联供, 家庭用户, 燃料电池, 电解池, 配置优化

Abstract: A mathematical model of a hydrogen fuel cell cogeneration system, including modules such as fuel cells, electrolytic cells, batteries, hydrogen storage tanks, and heat storage water tanks, was established for residential energy consumption scenarios. Analyzed the electricity and heat consumption in typical regions that meet the demand, and proposed a typical daily load curve for residential users. A system energy management strategy was proposed for two typical scenarios, peak valley electricity utilization and clean energy consumption, and preliminary parameter configuration schemes were obtained through multi parameter joint debugging. We conducted system configuration optimization research using particle swarm optimization algorithm with economy as the objective function. After optimization, the average annual cost of the system decreased by 7.14% and 6.15% respectively in peak valley electricity utilization and clean energy consumption scenarios.

Key words: Cogeneration, Residential users, Fuel cell, Electrolytic cell, Configuration optimization