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支持多微网的共享氢电混合储能双层优化配置

Dual-Layer Optimization Configuration of Shared Hydrogen-Electric Hybrid Energy Storage Supporting Multi-Microgrid Systems
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摘要 在全球能源结构变革与共享经济模式兴起的背景下,氢能与共享模式的结合将成为未来能源供应的新形态,该研究提出支持多微网的共享氢电混合储能双层优化配置。求解方法采用卡罗需-库恩-塔克(Karush-Kuhn-Tucker,KKT)条件。首先,将下层模型转换为上层模型的约束条件,获得单层非线性模型。其次,利用大M法对非线性部分进行线性化处理。最后,设置2种不同的场景进行对比分析。结果表明,共享氢电混合储能模式相比单一的共享储能模式储能的配置容量减少18.26%,收益增加23.1%。下层微网从电网的购电量减少21.7%,燃气轮机的发电量减少14.6%,从而有效减少了CO_(2)的排放,验证了共享氢电混合储能模式的经济性和环保性。 Against the backdrop of global energy transformation and the burgeoning sharing economy,the integration of hydrogen energy and sharing models is emerging as an innovative energy supply solution.This paper proposes a dual-layer optimization configuration for shared hydrogen-electric hybrid energy storage supporting multi-microgrid systems.The solution method utilizes the KKT conditions to convert the lower-level model into constraints for the upper-level model,yielding a single-layer nonlinear model,which is then linearized using the Big-M method for the nonlinear parts.A comparative analysis under two distinct scenarios reveals compelling outcomes:the proposed shared hydrogen-electric hybrid energy storage model achieves an 18.26%reduction in storage capacity and boosts profits by 23.1%compared to a single shared storage model.Furthermore,lower-level microgrids reduce grid electricity purchases by 21.7%and curtail gas turbine generation by 14.6%,significantly lowering CO_(2) emissions.hese results decisively demonstrate the substantial economic and environmental advantages of the hydrogen-electric hybrid shared energy storage approach.
作者 任纪港 程志江 张学平 杨涵棣 REN Jigang;CHENG Zhijiang;ZHANG Xueping;YANG Handi(MOE Engineering Research Center of Renewable Energy Power Generation and Grid-Connected Control,Xinjiang University,Urumqi 830017,Xinjiang,China;School of Electrical Engineering,Xinjiang University,Urumqi 830017,Xinjiang,China)
出处 《电网与清洁能源》 北大核心 2025年第8期107-113,共7页 Power System and Clean Energy
基金 新疆维吾尔自治区重大科技专项项目(2022A01001-3)。
关键词 共享氢电混合储能 冷热电联供多微网 双层优化 容量配置 KKT条件 shared hydrogen-electric hybrid energy storage CCHP multi-microgrid dual-layer optimization capacity configuration KKT conditions
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