• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

Electric Power Construction ›› 2019, Vol. 40 ›› Issue (9): 82-90.doi: 10.3969/j.issn.1000-7229.2019.09.010

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Research on Scheduling Strategy of Data Centers Participating in Multi-peak-regulating Ancillary Service Markets

LIU Yongjun1, CAO Xiaojun2, HU Zhaoyang1, WANG Ke2, XU Lizhong3, GAO Ciwei4   

  1. 1.East China Branch of State Grid Corporation of China, Shanghai 200120, China;2.China Electric Power Research Institute, Nanjing 210003, China; 3. State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310007, China; 4.School of Electrical Engineering, Southeast University, Nanjing 210096, China
  • Online:2019-09-01
  • Supported by:
    This work is supported by State Grid Corporation of China Research Program( No. 52110417001M).

Abstract: Data center electricity load is an adjustable resource with great application prospects on the load side. Cloud computing and big data technologies ensure that data centers can quickly transfer data loads from place to place through the network. At the same time, the development of technologies such as smart grid and automatic demand response makes it possible to quickly and automatically adjust the electricity load of data centers. At present, the power supply in China is generally surplus, and the peak regulation, especially the valley-load peak regulation, has become one of the difficult links in system operation and management. As a high-quality demand response resource, data centers can achieve the  power transfer between multiple electricity markets through data network, with a strong peak regulation potential. The demand response method of data centers participating in peak-regulating ancillary service markets is designed. The overall framework of data network participating in multi-peak-regulating ancillary service markets is proposed. And the scheduling strategy of data network participating in peak-regulating ancillary service markets is established. The example shows that the optimal scheduling scheme of the model can ensure the efficiency and economy of data centers when participating in multi-peak-regulating ancillary service markets.

Key words: data center, multiple electricity markets, peak-regulating ancillary service, demand response

CLC Number: