Power system operational reliability evaluation method considering data center load flexibility

被引:0
|
作者
Wang H. [1 ]
Gao J. [2 ]
Huang J. [3 ]
Yu J. [2 ]
Qian S. [1 ]
Yao H. [4 ]
机构
[1] Hangzhou Yuhang District Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
[2] State Key Laboratory of Power Transmission Equipment Technology, Chongqing University, Chongqing
[3] Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou
[4] Yuhang Qunli Complete Electric Manufacturing Branch, Hangzhou Electric Power Equipment Manufacturing Co., Ltd., Hangzhou
关键词
data center; load flexibility; operational reliability evaluation; power system;
D O I
10.19783/j.cnki.pspc.230348
中图分类号
学科分类号
摘要
In the era of big data, the scale of data centers has been increasing year by year. A data center has high energy consumption, high elasticity and interconnected load flexibility. However, current power system operational reliability evaluation research ignores the load flexibility of the data center, resulting in inaccurate evaluation results and an inability to reflect the energy efficiency status of the data center. This paper first proposes a data center load flexibility model based on the interconnection between data centers and the off-site transfer characteristics of computing power loads. Second, a power system operational reliability model including data center energy efficiency and operational reliability contributions is established. Further, considering random factors such as electrical load, data center computing power load, and wind and solar power, a power system operational reliability evaluation model considering data center load flexibility is established, and a corresponding evaluation method is proposed. Finally, through simulations on the IEEE RTS and a practical power system, the results show that the load flexibility of the data center not only contributes to the consumption of renewable energy and the safe and reliable operation of the power system, but also helps the data center to save energy and reduce consumption. © 2023 Power System Protection and Control Press. All rights reserved.
引用
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页码:96 / 105
页数:9
相关论文
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