Fuzzy Chance Constraint-based Optimal Allocation of Electric-hydrogen Hybrid Energy Storage in Low-carbon Parks

In the context of "double carbon" target, regarding the issue of source load uncertainty, 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.