电力系统自动化2024，Vol.48Issue(1)：59-66,8.DOI:10.7500/AEPS20230617001
面向电量-调频-容量市场的数据中心园区算力及电力资源规划
Planning of Computing Power and Electric Power Resources in Data Center Parks for Electricity,Frequency Regulation and Capacity Markets
摘要
Abstract
The widespread construction of data centers is a developing trend in the intelligent era.The rational planning of data centers,considering their load transfer characteristics while ensuring service quality,holds great significance in reducing the overall cost of data center planning and enhancing the flexibility of new power systems.Therefore,a data center computing power and electric power resource optimization planning method considering the guidance of multiple electricity markets is proposed.Firstly,a virtual generator and a virtual energy storage model are established using the polyhedral bounding contraction method to describe the aggregated characteristics of the data center park.Then,based on the settlement rules of different electricity markets,the methods and economic benefits of data center parks participating in the electricity frequency regulation-capacity market are investigated.On this basis,with the goal of minimizing comprehensive costs,the construction capacity of generators,energy storage,and the number of servers in the data center park are optimized.Finally,taking Alibaba's publicly available operational data as an example,it is demonstrated that considering diversified power markets can greatly reduce the planning costs of data centers,incentivize investment and construction of more flexible resources in data center parks,and provide effective frequency regulation services and capacity support for the power grid.关键词
数据中心/规划/算力/虚拟储能/电力市场/置信容量Key words
data center/planning/computing power/virtual energy storage/electricity market/confidence capacity引用本文复制引用
丁巧宜,王梓耀,潘振宁,吴毓峰,余涛,王克英..面向电量-调频-容量市场的数据中心园区算力及电力资源规划[J].电力系统自动化,2024,48(1):59-66,8.基金项目
国家自然科学基金资助项目(52207105) （52207105）
国家自然科学基金委员会-国家电网公司智能电网联合基金资助项目(U2066212). This work is supported by National Natural Science Foundation of China(No.52207105)and Natural Science Foundation of China-Smart Grid Joint Fund of State Grid Corporation of China(No.U2066212). （U2066212）
