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作 者:张程 江炜龙 罗玉锦 兰嵩[4] ZHANG Cheng;JIANG Weilong;LUO Yujin;LAN Song(School of Electronic,Electrical Engineering and Physics,Fujian University of Technology,Fuzhou 350118,China;Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid in Colleges and Universities in Fujian Province,Fuzhou 350118,China;Huaneng Luoyuan Power Generation Co.,Ltd.,Fuzhou 350602,China;Fujian Polytechnic of Water Conservancy and Electric Power,Sanming 366000,China)
机构地区:[1]福建理工大学电子电气与物理学院,福建福州350118 [2]智能电网仿真分析与综合控制福建省高校工程研究中心,福建福州350118 [3]华能罗源发电有限责任公司,福建福州350602 [4]福建水利电力职业技术学院,福建三明366000
出 处:《电力系统保护与控制》2025年第4期72-84,共13页Power System Protection and Control
基 金:国家自然科学基金项目资助(52377088);教育部产学合作协同育人项目资助(220605211033030);福建省财政厅专项资助(GY-Z220230);福建省自然科学基金项目资助(2023J01951)。
摘 要:共享储能是能源改革的关键技术,多个园区数据中心微网与共享储能联盟可以实现各主体之间的能量互补和资源联动。为提高含共享储能联盟系统的经济效益,提出了一种考虑风光不确定性的两阶段鲁棒多微网与共享储能合作博弈模型。首先,各微网及共享储能之间联盟,构建电能交易优化运行模型。然后,将风光出力的不确定性信息以箱型不确定集的形式表示,建立两阶段鲁棒模型。运用纳什理论构建多微网-共享储能多主体合作博弈模型,并将模型等效转换为联盟合作成本最小化子问题和各主体交易谈判子问题,通过交替方向乘子法对上述两个子问题进行分布式求解。最后,仿真结果表明该方法能有效降低运行成本,并通过分析计算出不同鲁棒参数下数据中心用户的最优补偿价格。Shared energy storage is a key technology for energy reform,and the alliance of multiple data center microgrids and shared energy storage can realize energy complementarity and resource linkage among different entities.To improve the economic benefits of systems with shared energy storage,a two-stage robust multiple data center microgrids and shared energy storage collaborative game model considering wind power and photovoltaic uncertainty is proposed.First,an alliance is formed between the microgrids and community-shared energy storage to construct an optimized operational model for electricity trading.Then,the uncertainty of wind power and photovoltaic output is represented in the form of a box-type uncertainty set to build a two-stage robust optimal dispatch model.Nash negotiation theory is used to construct a multi-microgrid and shared energy storage multi-entity cooperation game model.The model is equivalently transformed into the subproblems of alliance cooperation cost minimization and individual entity trading negotiation.These are analyzed in a distributed manner using the alternating direction multiplier method.Finally,simulation results show that this method can effectively reduce the operational cost and calculate the optimal compensation price for data center users with different robust parameters.
关 键 词:共享储能 微网 数据中心 两阶段鲁棒 纳什谈判 合作运行 交替方向乘子法
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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