Junlong Li, Chenghong Gu, Lurui Fang, 等. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):1901-1910.
Junlong Li, Chenghong Gu, Lurui Fang, et al. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1901-1910.
Junlong Li, Chenghong Gu, Lurui Fang, 等. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. 中国电机工程学会电力与能源系统学报(英文), 2024,10(5):1901-1910.DOI: 10.17775/CSEEJPES.2022.02000.
Junlong Li, Chenghong Gu, Lurui Fang, et al. Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers[J]. CSEE Journal of Power and Energy Systems, 2024, 10(5): 1901-1910.DOI: 10.17775/CSEEJPES.2022.02000.
Spatio-Temporal Reallocation Method for Energy Management in Edge Data Centers
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.
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Keywords
references
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相关作者
Yunfei Mu
Congshan Wang
Mingshen Wang
Hongjie Jia
Xiaodan Yu
Yifan Bian
Peng Lu
Lirong Xie
相关机构
Key Laboratory of Smart Grid of the Ministry of Education, Tianjin University
Electric Power Research Institute of State Grid Jiangsu Electric Power Co., Ltd.
Engineering Research Center for Energy Generation & Grid of Ministry of Education, Xinjiang University
State Key Laboratory of Power System, Generation Equipment Tsinghua University
State Key Laboratory of Electrical Insulation and Power Equipment, School of Electrical Engineering, Xi'an Jiaotong University