文章摘要
郭路山,张 坤,任 飞.碳交易下多能楼宇微电网需求响应博弈优化[J].电力需求侧管理,2025,27(6):31-36
碳交易下多能楼宇微电网需求响应博弈优化
Demand response game optimization of building microgrids under carbon trading mechanism
投稿时间:2025-07-05  修订日期:2025-09-09
DOI:10. 3969 / j. issn. 1009-1831. 2025. 06. 005
中文关键词: 楼宇微电网  需求响应  碳交易  电力市场  主从博弈
英文关键词: building microgrid  demand response  carbon trading  electricity market  stackelberg game
基金项目:国网山东省电力公司科技项目资助(2023A-059)
作者单位
郭路山 国网山东省电力公司 莱阳市供电公司山东 莱阳 265200 
张 坤 国网山东省电力公司 莱阳市供电公司山东 莱阳 265200 
任 飞 国网山东省电力公司 莱阳市供电公司山东 莱阳 265200 
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中文摘要:
      针对楼宇微电网,采用主从博弈模型对其在电力市场的需求响应进行了优化分析。针对需求响应的不同类型,对不同的楼宇微电网设计了面向碳交易的主从博弈优化机制。考虑碳排放指导下的高比例新能源楼宇微电网实际碳排放量,建立了楼宇微电网低碳优化运行模型,以最小化用电成本和环境碳排放为目标函数,针对不同需求响应情景进行分析和验证。结果表明,根据需求响应最大化可再生能源比例,能有效提升楼宇建筑整体经济性,实现经济低碳的协同效应。而构建的主从博弈模型在碳交易市场可以实现代理商和微电网用户的利益最大化,有效提高楼宇用户用电决策的精准性和代理商的经济效益,对构建主动配电网和双碳能源坚强电网具有重要意义。
英文摘要:
      Stackelberg game model is employed to optimize the demand response of the building microgrid in the power market. According to different types of demand response, a Stackelberg game-based optimization mechanism for carbon trading is designed for different building microgrids. Considering the actual carbon emissions of building microgrids with a high penetration of renewable energy under carbon emission constraints, a low-carbon optimal operation model for the building microgrid is established, aiming to minimize electricity costs and environmental carbon emissions. Experiments are conducted for different demand response scenarios, and analysis and verification were performed. The results show that maximizing the proportion of renewable energy through demand response can effectively improve the overall economic performance of the building and achieve a synergistic low-carbon economic effect. The proposed Stackelberg game model can maximize the benefits of agents and microgrid users in the carbon trading market, effectively enhance the accuracy of electricity consumption decisions for building users and the economic benefits for operators, and plays a vital role in building active distribution networks and a dual-carbon system. It is of great significance for developing a robust energy grid.
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