| 数据中心电能管理及参与需求侧资源调度的展望 |
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| 引用本文： | 高赐威,曹晓峻,闫华光,苏卫华.数据中心电能管理及参与需求侧资源调度的展望[J].电力系统自动化,2017,41(23):1-7. |
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| 作者姓名： | 高赐威 曹晓峻 闫华光 苏卫华 |
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| 作者单位： | 东南大学电气工程学院, 江苏省南京市 210096,东南大学电气工程学院, 江苏省南京市 210096,中国电力科学研究院, 北京市 100192,国网上海市电力公司松江供电公司, 上海市 201600 |
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| 基金项目： | 国家高技术研究发展计划(863计划)资助项目(2015AA050401)；国家自然科学基金资助项目(51577029)；国家电网公司科技项目“面向电力市场化的需求响应机制及实现技术研究” |
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| 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。
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| 关 键 词： | 数据中心 电能管理 能耗模型 需求响应 |
| 收稿时间： | 2017/4/1 0:00:00 |
| 修稿时间： | 2017/11/1 0:00:00 |
Energy Management of Data Center and Prospect for Participation in Demand Side Resource Scheduling |
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| GAO Ciwei,CAO Xiaojun,YAN Huaguang and SU Weihua.Energy Management of Data Center and Prospect for Participation in Demand Side Resource Scheduling[J].Automation of Electric Power Systems,2017,41(23):1-7. |
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| Authors: | GAO Ciwei CAO Xiaojun YAN Huaguang and SU Weihua |
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| Affiliation: | School of Electrical Engineering, Southeast University, Nanjing 210096, China,School of Electrical Engineering, Southeast University, Nanjing 210096, China,China Electric Power Research Institute, Beijing 100192, China and Songjiang Power Supply Company of State Grid Shanghai Municipal Electric Power Company, Shanghai 201600, China |
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| 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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| Keywords: | data center(DC) energy management energy consumption model demand response |
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