LI Ping, SONG Dengke, LI Jiawei, et al. Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks[J]. 2026, 43(3): 561-569.
DOI:
LI Ping, SONG Dengke, LI Jiawei, et al. Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks[J]. 2026, 43(3): 561-569.DOI: 10.19725/j.cnki.1007-2322.2024.0029.
Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks
in this paper we propose a fuzzy chance constraint-based method for electric-hydrogen hybrid energy storage in low-carbon parks to optimize the economic and environmental benefits of the system
aiming to address the source-load uncertainty issue. Firstly
an electric-hydrogen hybrid energy storage element model is established considering the flexible operation conditions of electrolytic tank
compressor
hydrogen storage tank and fuel cell within the coupled electric-hydrogen system. Secondly
a source-load interaction model is developed according to the power consumption characteristics of flexible loads
such as shiftable load and interruptible load. On this basis
a fuzzy parameter description for the uncertainty of new energy output and load is established. The optimal configuration model of electric-hydrogen hybrid energy storage in a low-carbon park aims to minimize the comprehensive cost of the system
thus realizing the optimal configuration of electric-hydrogen hybrid energy storage location and capacity. Finally
the effectiveness of the proposed method in enhancing system efficiency is verified through an example of the IEEE 33-bus system.
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references
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