实现新能源最大利用的多数据中心自适应负荷调度算法  

Adaptive Spatio-temporal Tasks Scheduling Algorithm in Regional Interconnected Data Centers

作　　者：李明睿 朱介北 俞露杰 贾宏杰[1] LI Mingrui;ZHU Jiebei;YU Lujie;JIA Hongjie(Key Laboratory of Smart Grid of Ministry of Education(Tianjin University),Nankai District,Tianjin 300072,China)

机构地区：[1]智能电网教育部重点实验室(天津大学),天津市南开区300072

出　　处：《中国电机工程学报》2025年第6期2071-2083,I0003,共14页PROCEEDINGS OF THE CHINESE SOCIETY FOR ELECTRICAL ENGINEERING

基　　金：国家重点研发计划项目(2018YFA0702200)。

摘　　要：数据中心作为云计算的重要基础设施,其高能耗问题日益严重。为了减少数据中心的碳排放,实现“碳达峰,碳中和”目标,数据中心运营商开始引入新能源电力。然而新能源出力的随机性和不确定性,增加了新能源充分利用的难度。该文基于不同地理分布的多个数据中心新能源出力的时空互补特性,提出一种面向多数据中心的自适应负荷调度算法。该算法通过对计算负荷的灵活调度实现其在时间和空间上的迁移部署,进而使得多数据中心整体用电曲线匹配当地新能源出力,实现新能源的最大利用。该文基于真实数据对所提算法进行算例分析,验证算法在不影响计算负荷性能的前提下可最大化消纳新能源,显著提高数据中心用电的绿色化水平。As an important infrastructure of cloud computing,the problem of high energy consumption is becoming more and more serious.In order to reduce carbon emissions of data centers and achieve the goal of"carbon peak and carbon neutrality",data center operators begin to introduce new energy sources.However,the randomness and uncertainty of new energy output increase the difficulty of new energy utilization.Based on the spatio-temporal complementarity of new energy output in multiple geographically distributed data centers,a spatio-temporal scheduling algorithm for computing tasks in multiple data centers is proposed.The flexible scheduling of computing tasks can realize the migration of computing tasks in time and space,and then align the power curve of data center with the output of new energy,so as to realize the maximum utilization of new energy.In this paper,real data are used to analyze the algorithm,which verifies the effectiveness of the algorithm for new energy consumption and reduces the carbon emissions of the data center cluster.

关 键 词：绿色数据中心集群 节能降耗 任务调度 

分 类 号：TM71[电气工程—电力系统及自动化]