A Survey on Data Center Power Load Optimization Considering Demand Response

被引：0

作者：

Wu G. ^{[1
]}

Gao C. ^{[1
]}

Chen S. ^{[2
]}

Li D. ^{[2
]}

Liu Q. ^{[3
]}

机构：

[1] School of Electrical Engineering, Southeast University, Nanjing, 210096, Jiangsu Province

[2] China Electric Power Research Institute, Haidian District, Beijing

[3] State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, 310007, Zhejiang Province

来源：

Dianwang Jishu/Power System Technology | 2018年 / 42卷 / 11期

关键词：

Data center; Demand response; Operation mode; Participation type; Power consumption modeling;

D O I：

10.13335/j.1000-3673.pst.2018.0263

中图分类号：

TM7 [输配电工程、电力网及电力系统];

学科分类号：

080802 ;

摘要：

Power consumption of data centers has increased rapidly in recent years. As a novel large-scale demand response resource, it becomes a research hotspot worldwide. Different from traditional demand response resources, data center electricity load has potential to adjust both on time and space scales. The adjustment potential and load optimization are discussed based on modeling of power consumption in hardware level and data network workload level respectively. The research junctions specific to self-management and colocation modeare analyzed. Thestate-of-art researches are summarized in multiple types including direct load control, price guidance and participation in electricity market. Finally, the key points of data center demand response implementation are pointed out. Advice for further researchdirection is discussed in aspects of quantification of demand response potential, commercial mode and benefit analysis. © 2018, Power System Technology Press. All right reserved.

引用

页码：3782 / 3788

页数：6

共 44 条

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