| 引用本文: | 张 程,江炜龙,罗玉锦,等.考虑风光不确定性的多数据中心微网与共享储能协同优化运行[J].电力系统保护与控制,2025,53(4):72-84.[点击复制] |
| ZHANG Cheng,JIANG Weilong,LUO Yujin,et al.Collaborative optimal operation of multiple data center microgrids and shared energy storage considering wind power and photovoltaic uncertainty[J].Power System Protection and Control,2025,53(4):72-84[点击复制] |
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| 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。 |
| 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 |
| DOI：10.19783/j.cnki.pspc.240732 |
| 投稿时间：2024-06-13修订日期：2024-10-11 |
| 基金项目: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) |
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| Collaborative optimal operation of multiple data center microgrids and shared energy storage considering wind power and photovoltaic uncertainty |
| ZHANG Cheng1,2,JIANG Weilong1,LUO Yujin3,LAN Song4 |
| (1. School of Electronic, Electrical Engineering and Physics, Fujian University of Technology, Fuzhou 350118, China;
2. Engineering Research Center for Simulation Analysis and Integrated Control of Smart Grid in Colleges and Universities
in Fujian Province, Fuzhou 350118, China; 3. Huaneng Luoyuan Power Generation Co., Ltd., Fuzhou 350602, China;
4. Fujian Polytechnic of Water Conservancy and Electric Power, Sanming 366000, China) |
| Abstract: |
| 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. |
| Key words: shared energy storage microgrids data center two-stage robustness Nash negotiations cooperative operation alternating direction multiplier method |
