Review of energy management for data centers in energy internet

被引:0
作者
Feng C. [1 ]
Wang Y. [2 ]
Chen Q. [1 ]
Zhang X. [3 ]
Luo G. [3 ]
机构
[1] State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment, Tsinghua University, Beijing
[2] ETH Zurich, Zurich
[3] Power Dispatch and Control Centre, Guangdong Power Grid Co., Ltd., Guangzhou
来源
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2020年 / 40卷 / 07期
基金
国家重点研发计划;
关键词
Data center; Demand response; Energy consumption model; Energy internet; Energy management;
D O I
10.16081/j.epae.202007003
中图分类号
学科分类号
摘要
Data centers play an important role in the big data era. With the continuous expansion of data centers,the problem of their huge energy consumption has attracted a lot of attention and thus the energy management has become a major focus for data center industry. In the energy internet environment,data centers are expected to have more diversified choices to gain energy supply,discover more flexible and efficient energy management methods,and their energy management modes that only rely on electricity could be reformed fundamentally. From a new perspective of energy internet,the research and practice related to the energy management for data centers are reviewed. Firstly,the service structure and the infrastructure of data centers are discussed. Then,the energy consumption structure,energy efficiency and energy consumption model of data centers are provided. Afterwards,the energy management methods of data centers in the context of energy internet are analyzed in detail. At last,the challenges and difficulties of energy management for data centers in the context of energy internet in the future are discussed. © 2020, Electric Power Automation Equipment Press. All right reserved.
引用
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页码:1 / 9
页数:8
相关论文
共 59 条
[1]  
DONG Zhaoyang, ZHAO Junhua, WEN Fushuan, Et al., From smart grid to energy internet: basic concept and research framework, Automation of Electric Power Systems, 38, 15, pp. 1-11, (2014)
[2]  
ZENG Ming, YANG Yongqi, LIU Dunnan, Et al., Generation-grid-load-storage" coordinative optimal operation mode of energy internet and key technologies, Power System Technology, 40, 1, pp. 114-124, (2016)
[3]  
DENG Jianling, Concept of energy internet and its development modes, Electric Power Automation Equipment, 36, 3, pp. 1-5, (2016)
[4]  
ZHANG Yongjun, CHEN Zexing, CAI Zexiang, Et al., New gene-ration of cyber-energy system: energy internet, Electric Po-wer Automation Equipment, 36, 9, pp. 1-7, (2016)
[5]  
ZHOU Z, LIU F, CHEN S, Et al., A truthful and efficient incen-tive mechanism for demand response in green datacenters, IEEE Transactions on Parallel and Distributed Systems, 31, 1, pp. 1-15, (2020)
[6]  
LI Dan, CHEN Guihai, REN Fengyuan, Et al., Data center network research progress and trends, Chinese Journal of Com-puters, 37, 2, pp. 259-274, (2014)
[7]  
Data center architecture overview: Cisco data center infras-tructure 2.5 design guide
[8]  
YIN Ping, Research on data centers(1): current situation and problem analysis, Heating Ventilating & Air Conditioning, 46, 8, pp. 42-53, (2016)
[9]  
TRAN N H, TRAN D H, REN S, Et al., How geo-distributed data centers do demand response: a game-theoretic approach, IEEE Transactions on Smart Grid, 7, 2, pp. 937-947, (2016)
[10]  
WU Gang, GAO Ciwei, CHEN Songsong, Et al., A survey on data center power load optimization considering demand res-ponse, Power System Technology, 42, 11, pp. 3782-3788, (2018)