电力系统保护与控制2025，Vol.53Issue(4)：72-84,13.DOI:10.19783/j.cnki.pspc.240732
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
Collaborative optimal operation of multiple data center microgrids and shared energy storage considering wind power and photovoltaic uncertainty
摘要
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.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Key words
shared energy storage/microgrids/data center/two-stage robustness/Nash negotiations/cooperative operation/alternating direction multiplier method引用本文复制引用
张程,江炜龙,罗玉锦,兰嵩..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):72-84,13.基金项目
This work is supported by the National Natural Science Foundation of China(No.52377088). 国家自然科学基金项目资助(52377088) （No.52377088）
教育部产学合作协同育人项目资助(220605211033030) （220605211033030）
福建省财政厅专项资助(GY-Z220230) （GY-Z220230）
福建省自然科学基金项目资助(2023J01951) （2023J01951）
