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考虑电解槽寿命的离网风光互补制氢系统双层嵌套配置优化策略研究

孙浩然 林光伟 汤纪飞 欧阳彦超 王志敏 祝乔 杨锦

综合智慧能源2026,Vol.48Issue(5):56-63,8.
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综合智慧能源2026,Vol.48Issue(5):56-63,8.DOI:10.3969/j.issn.2097-0706.2026.05.006

考虑电解槽寿命的离网风光互补制氢系统双层嵌套配置优化策略研究

Research on two-layer nested configuration optimization strategy for off-grid wind-solar complementary hydrogen production system considering electrolyzer lifetime

孙浩然 1林光伟 2汤纪飞 2欧阳彦超 1王志敏 1祝乔 2杨锦1

作者信息

  • 1. 东方电气集团东方锅炉股份有限公司,成都 611731
  • 2. 西南交通大学 机械工程学院,成都 610031
  • 折叠

摘要

Abstract

To accurately match local resources of off-grid wind-solar complementary hydrogen production systems and reduce life cycle cost,a capacity configuration optimization method was proposed.Energy efficiency models of photovoltaic units,wind turbines,and batteries were established,and particularly,an electrolyzer lifetime model was developed to dynamically quantify the influence of hydrogen production power on equipment lifetime,thereby overcoming the limitations of the traditional fixed-lifetime assumption.With the objective of minimizing levelized cost of hydrogen(LCOH),a two-layer nested optimization framework was designed.The inner layer adopted a rule-based energy management method to realize power distribution,while the outer layer applied the ant colony optimization algorithm to optimize the system capacity parameters.Actual wind and solar resource data from Baxoi,Tibet and Golmud,Qinghai were selected for validation.The results showed that the proposed strategy significantly reduced the LCOH and effectively improved the economic performance of the system compared with traditional methods,thus providing a theoretical basis for the engineering application of off-grid hydrogen production systems.

关键词

电解槽/离网风光互补制氢系统/配置优化/双层嵌套/能量管理/蚁群优化算法

Key words

electrolyzer/off-grid wind-solar complementary hydrogen production system/configuration optimization/two-layer nested strategy/energy management/ant colony optimization algorithm

分类

能源科技

引用本文复制引用

孙浩然,林光伟,汤纪飞,欧阳彦超,王志敏,祝乔,杨锦..考虑电解槽寿命的离网风光互补制氢系统双层嵌套配置优化策略研究[J].综合智慧能源,2026,48(5):56-63,8.

基金项目

四川省科技计划项目(2024ZDZX0034) Science and Technology Program Project of Sichuan Province(2024ZDZX0034) (2024ZDZX0034)

综合智慧能源

2097-0706

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