数据中心电能管理及参与需求侧资源调度的展望

GAO Ciwei

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数据中心电能管理及参与需求侧资源调度的展望

更新时间：2025-08-13

- 数据中心电能管理及参与需求侧资源调度的展望
- Automation of Electric Power Systems Vol. 41, Issue 23, Pages: 1-7(2017)
- 作者机构：
  
  东南大学电气工程学院,江苏省,南京市,210096
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2017
- 稿件说明：
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GAO Ciwei. [J]. Automation of electric power systems, 2017, 41(23): 1-7.
DOI：

GAO Ciwei. [J]. Automation of electric power systems, 2017, 41(23): 1-7. DOI：

摘要

数据中心能耗高、体量大，存在极大的节能潜力。通过多个数据中心间数据负荷的转移可以实现电力电量在区域电网之间的传递。调研了当前数据负荷建模方式及处理方法、数据中心主要的能耗建模方式、数据中心的用电优化方法以及数据中心配合电网运行的最新进展。分析了数据中心参与需求侧资源调度的可行性与必要性，并提出现阶段深入挖掘数据中心调节潜力、参与需求响应所需完成的初步工作。

Abstract

Though data centers(DCs)have problems of high energy consumption and large volume

they have great potential of energy-saving. Electricity transferring among different regional grids can be realized by the data workload transmission among multiple data centers. This paper surveys the current data workload modeling and processing methods. Meanwhile

the main energy consumption models in DCs

the optimization methods of DCs' power consumption and the latest progress of DC cooperating with power grid are also investigated. Finally

the feasibility and necessity of DCs' participation in demand side resource scheduling are analyzed. This paper puts forward the preliminary work required at the present stage to deeply mine the regulation potential of DCs and make DCs to participate in demand response.

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Related Institution

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

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Marketing Department of State Grid Anhui Electric Power Co., Ltd.

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