全球能源互联网（英文）2024，Vol.7Issue(1)：61-70,10.DOI:10.1016/j.gloei.2024.01.006
含有光伏集群和储能型不间断电源集群的数据中心优化运行
Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters
摘要
Abstract
With the development of green data centers,a large number of Uninterruptible Power Supply(UPS)resources in Internet Data Center(IDC)are becoming idle assets owing to their low utilization rate.The revitalization of these idle UPS resources is an urgent problem that must be addressed.Based on the energy storage type of the UPS(EUPS)and using renewable sources,a solution for IDCs is proposed in this study.Subsequently,an EUPS cluster classification method based on the concept of shared mechanism niche(CSMN)was proposed to effectively solve the EUPS control problem.Accordingly,the classified EUPS aggregation unit was used to determine the optimal operation of the IDC.An IDC cost minimization optimization model was established,and the Quantum Particle Swarm Optimization(QPSO)algorithm was adopted.Finally,the economy and effectiveness of the three-tier optimization framework and model were verified through three case studies.关键词
优化框架/储能型不间断电源/基于小生境的集群聚合方法/量子行为粒子群优化算法Key words
Three-tier optimization framework/Energy storage type of the UPS/EUPS cluster classification method/Quantum Particle Swarm Optimization引用本文复制引用
陈满,赵宇鑫,李毓烜,彭鹏,唐西胜..含有光伏集群和储能型不间断电源集群的数据中心优化运行[J].全球能源互联网（英文）,2024,7(1):61-70,10.基金项目
This work was supported by the Key Technology Projects of the China Southern Power Grid Corporation(STKJXM20200059)and the Key Support Project of the Joint Fund of the National Natural Science Foundation of China(U22B20123). （STKJXM20200059）
