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

doi:10.3969/j.issn.2097-0706.2026.05.006

Abstract

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

CLC Number:

TK91：TQ116.2

SUN Haoran, LIN Guangwei, TANG Jifei, OUYANG Yanchao, WANG Zhimin, ZHU Qiao, YANG Jin. Research on two-layer nested configuration optimization strategy for off-grid wind-solar complementary hydrogen production system considering electrolyzer lifetime[J]. Integrated Intelligent Energy, 2026, 48(5): 56-63.

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地区	风机容量/MW	光伏容量/MW	PEM电解槽容量/MW	蓄电池容量/$(\mathrm{M}\mathrm{W}\bullet \mathrm{h})$	综合制氢成本/$(\mathrm{元}\bullet {\mathrm{m}}^{-3})$
西藏八宿	2.137 0	12.644 3	4.772 7	0	1.198
青海格尔木	0.021 7	17.792 6	5.269 9	0	1.320

寿命模型	风机容量/MW	光伏容量/MW	PEM电解槽容量/MW	蓄电池容量$/(\mathrm{M}\mathrm{W}\bullet \mathrm{h})$	综合制氢成本/$(\mathrm{元}\bullet {\mathrm{m}}^{-3})$
固定数值	0	16.368 2	4.383 2	0	1.286
动态寿命	2.137	12.644 3	4.772 7	0	1.198

蓄电池采购成本/ [元∙(kW∙h)^-1]	风机容量/MW	光伏容量/MW	PEM电解槽容量/MW	蓄电池容量$/(\mathrm{M}\mathrm{W}\bullet \mathrm{h})$	综合制氢成本/$(\mathrm{元}\bullet {\mathrm{m}}^{-3})$
500	0	12.627 6	4.536 4	0	1.192 0
100	0	12.584 2	4.302 8	0.671	1.185 3