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

• 制氢系统优化 • 上一篇    下一篇

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1(), 林光伟2(), 汤纪飞2(), 欧阳彦超1(), 王志敏1(), 祝乔2(), 杨锦1,*()   

  1. 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
  • 收稿日期:2025-07-21 修回日期:2025-11-10 出版日期:2026-05-25
  • 通讯作者: *杨锦(1982),男,高级工程师,硕士,从事氢能方面的研究,yangj@dbc.com.cn
  • 作者简介:孙浩然(1992),男,高级工程师,博士,从事氢能方面的研究,sunhr@dbc.com.cn
    林光伟(1997),男,博士生,从事氢能能量管理方面的研究,lingw97@my.swjtu.edu.cn
    汤纪飞(2001),男,硕士生,从事氢能方面的研究,17855120061@163.com
    欧阳彦超(1994),男,高级工程师,硕士,从事氢能方面的研究,ouyangyc7314@dongfang.com
    王志敏(1999),男,助理工程师,从事氢能方面的研究,wangzm8537@dongfang.com
    祝乔(1982),男,教授,博士,从事氢能方面的研究,zhuqiao@home.swjtu.edu.cn
  • 基金资助:
    四川省科技计划项目(2024ZDZX0034)

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

SUN Haoran1(), LIN Guangwei2(), TANG Jifei2(), OUYANG Yanchao1(), WANG Zhimin1(), ZHU Qiao2(), YANG Jin1,*()   

  1. 1 Dongfang Boiler Company LimitedDongfang Electric CorporationChengdu 611731, China
    2 School of Mechanical EngineeringSouthwest Jiaotong UniversityChengdu 610031, China
  • Received:2025-07-21 Revised:2025-11-10 Published:2026-05-25
  • Supported by:
    Science and Technology Program Project of Sichuan Province(2024ZDZX0034)

摘要:

为精准匹配离网风光互补制氢系统当地资源并降低全生命周期成本,提出了一种容量配置优化方法。通过构建光伏、风机及蓄电池的能效模型,特别是电解槽寿命模型,动态量化制氢功率对设备寿命的影响,突破传统固定寿命假设的局限。以平准化制氢成本(LCOH)最小化为目标,设计了一种双层嵌套优化框架:内层采用基于规则的能量管理策略实现功率分配,外层则运用蚁群优化算法进行系统容量参数寻优。选取西藏八宿和青海格尔木的实际风光资源数据进行验证,结果表明,所提策略较传统方法可显著降低LCOH,有效提升系统经济性,为离网制氢系统的工程应用提供理论依据。

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

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.

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

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