Integrated Intelligent Energy ›› 2023, Vol. 45 ›› Issue (10): 25-34.doi: 10.3969/j.issn.2097-0706.2023.10.004

• Optimal Operation and Control • Previous Articles     Next Articles

Optimal scheduling of the data center integrated energy system considering load response characteristics

YU Wenchang1(), CHEN Yonggang1, CAO Junbo1, ZUO Luyuan2, ZHANG Xiangyin3,*(), YANG Xiu3   

  1. 1. Shanghai Company,China Huadian Corporation Limited, Shanghai 200120,China
    2. Shanghai Fengxian Gas Turbine Company Limited, Shanghai 201403,China
    3. School of Electrical Engineering,Shanghai Electric Power University,Shanghai 200090,China
  • Received:2023-05-06 Revised:2023-06-01 Online:2023-10-25 Published:2023-07-07
  • Supported by:
    National Natural Science Foundation of China(52177098)

Abstract:

In the collaboration of "computing power + electric power" under the goal of carbon peaking and carbon neutrality,the data center,whose power consumption is substantive and growing rapidly,has great potential in carbon emission reduction and load regulation. To give full play to the flexibility of data center loads,an optimal scheduling strategy of the data center integrated energy system considering the load response characteristics is proposed. Firstly,an optimized scheduling framework for the data center integrated energy system is established. The load response characteristics and equipment energy consumption of the data center are modelled,to study the cold,heat and electric loads of the data center. Then,the objective function and constraint conditions are determined,and the optimization model is established to minimize the operation cost of the data center energy system. Finally,the simulation analysis is made on a data center. Comparing the performances of the data center energy system under different scenarios, the optimal strategy with the optimal allocation of workloads is figured out which can effectively reduce the system cost and energy consumption.

Key words: carbon neutral, data center, load response, optimized scheduling, integrated energy, energy saving and carbon reduction

CLC Number: