Spatio-temporal Reallocation Method for Energy Management in Edge Data Centers  

作　　者：Junlong Li Chenghong Gu Lurui Fang Xiangyu Wei Yuanbin Zhu Yue Xiang 

机构地区：[1]University of Bath,Bath BA27AY,UK [2]Department of Electrical and Electronic Engineering,Xi’an Jiaotong-Liverpool University,Suzhou 215123,China [3]College of Electrical Engineering,Sichuan University,Chengdu 610065,China

出　　处：《CSEE Journal of Power and Energy Systems》2024年第5期1901-1910,共10页中国电机工程学会电力与能源系统学报（英文）

摘　　要：Edge data centers(EDCs)have been widely developed recently to supply delay-sensitive computing services,which impose prohibitively increasing electricity costs for EDC operators.This paper presents a new spatiotemporal reallocation(STR)method for energy management in EDCs.This method uses spare resources,including servers and energy storage systems(ESSs)within EDCs to reduce energy costs based on both spatial and temporal features of spare resources.This solution:1)reallocates flexible workload between EDCs within one cluster;and 2)coordinates the electricity load of data processing,ESSs and distributed energy resources(DERs)within one EDC cluster to gain benefits from flexible electricity tariffs.In addition,this paper for the first time develops a Bit-Watt transformation to simplify the STR method and represent the relationship between data workload and electricity consumption of EDCs.Case studies justifying the developed STR method delivers satisfying cost reductions with robustness.The STR method fully utilized both spatial and temporal features of spare resources in EDCs to gain benefits from 1)varying electricity tariffs,and 2)maximumly consuming DER generation.

关 键 词：Edge data centers electricity costs reduction power control power market workload migration 

分 类 号：TM76[电气工程—电力系统及自动化]