Optimal operation of Internet Data Center with PV and energy storage type of UPS clusters

IF 1.9 Q4 ENERGY & FUELS Global Energy Interconnection Pub Date : 2024-02-01 DOI:10.1016/j.gloei.2024.01.006
Man Chen , Yuxin Zhao , Yuxuan Li , Peng Peng , Xisheng Tang
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引用次数: 0

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.

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采用光伏和储能式不间断电源集群的互联网数据中心的优化运行
随着绿色数据中心的发展,互联网数据中心(IDC)中大量的不间断电源(UPS)资源因利用率低而成为闲置资产。如何盘活这些闲置的 UPS 资源是一个亟待解决的问题。本研究根据不间断电源(EUPS)的储能类型和可再生能源的使用情况,提出了一种针对 IDC 的解决方案。随后,提出了一种基于共享机制利基(CSMN)概念的 EUPS 集群分类方法,以有效解决 EUPS 控制问题。因此,分类后的 EUPS 聚合单元被用来确定 IDC 的优化运行。建立了 IDC 成本最小化优化模型,并采用了量子粒子群优化(QPSO)算法。最后,通过三个案例研究验证了三层优化框架和模型的经济性和有效性。
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来源期刊
Global Energy Interconnection
Global Energy Interconnection Engineering-Automotive Engineering
CiteScore
5.70
自引率
0.00%
发文量
985
审稿时长
15 weeks
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