基于氢能多元利用与绿证-碳联合交易机制的多微网-共享储能运行优化策略
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1.兰州交通大学自动化与电气工程学院,甘肃 兰州 730070;2.甘肃省轨道交通电气自动化 工程实验室(兰州交通大学),甘肃 兰州 730070

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国家自然科学基金项目资助(52167013);甘肃省自然科学重点项目资助(24JRRA225);甘肃省自然科学基金项目资助(23JRRA891)


Operation optimization strategy for multiple microgrids with shared energy storage considering multi-utilization of hydrogen and green certificate-carbon joint trading mechanism
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1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China; 2. Gansu Province Engineering Laboratory for Rail Transit Electrical Automation (Lanzhou Jiaotong University), Lanzhou 730070, China

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    摘要:

    以共享储能(shared energy storage, SES)连接多微网(multiple microgrids, MMG)以实现不同微网间能源交互为研究背景,提出一种计及氢能多元利用和绿证-碳交易的MMG-SES协同运行优化策略。为提高风光等可再生能源消纳比例,并实现系统低碳化运行,引入了氢能多元利用模型及绿证-碳交易(green certificate trading-carbon emission trading, GCT-CET)机制。通过量化绿证的碳减排价值,并允许市场主体用绿证减排量抵扣碳配额,实现了绿证市场与碳交易市场的协同优化。进而构建了MMG-SES协同运行模型,并将其等效转化为协同成本最小化和交易电价最大化两个子问题,采用交替方向乘子法(alternating direction method of multipliers, ADMM)进行问题求解。算例结果表明,所提模型能够有效降低微网系统和共享储能电站的运行成本,提升新能源消纳能力,降低碳排放量,实现能源的高效利用和系统的低碳经济运行。

    Abstract:

    This paper focuses on the coordinated operation of multiple microgrids (MMG) connected via shared energy storage (SES) to realize energy interaction across microgrids. An MMG-SES operation optimization strategy taking into account the multiple utilization of hydrogen energy and green certificate-carbon trading is proposed. To increase the proportion of wind and other renewable energy consumption and achieve low-carbon system operation, a hydrogen model of multiple utilization and the GCT-CET (carbon emission trading-green certificate trading) mechanism are introduced. By quantifying the carbon emission reduction value of green certificates and allowing market players to offset carbon quotas with the emission reduction of green certificates, the synergy between the green certificate market and the carbon trading market is realized. On this basis, an MMG-SES cooperative operation model is constructed and equivalently transformed into two subproblems: minimizing cooperative cost and maximizing trading tariff, which are solved by the alternating direction method of multipliers (ADMM). Case study results show that the proposed model effectively reduces the operating costs of microgrid systems and shared energy storage power stations, enhances new energy consumption capacity, reduces carbon emissions, and realizes efficient energy use and low-carbon economic operation.

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刘佳佳,田铭兴,苏照旭,等.基于氢能多元利用与绿证-碳联合交易机制的多微网-共享储能运行优化策略[J].电力系统保护与控制,2025,53(19):52-67.[LIU Jiajia, TIAN Mingxing, SU Zhaoxu, et al. Operation optimization strategy for multiple microgrids with shared energy storage considering multi-utilization of hydrogen and green certificate-carbon joint trading mechanism[J]. Power System Protection and Control,2025,V53(19):52-67]

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  • 收稿日期:2025-02-25
  • 最后修改日期:2025-05-06
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  • 在线发布日期: 2025-09-28
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