引用本文:王辉东,高晋坤,黄佳斌,等.考虑数据中心负载灵活性的电力系统运行可靠性评估方法[J].电力系统保护与控制,2023,51(21):96-105.
WANG Huidong,GAO Jinkun,HUANG Jiabin,et al.Power system operational reliability evaluation method considering data center load flexibility[J].Power System Protection and Control,2023,51(21):96-105
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考虑数据中心负载灵活性的电力系统运行可靠性评估方法
王辉东1,高晋坤2,黄佳斌3,余 娟2,钱少锋1,姚海燕4
1.国网浙江省电力有限公司杭州市余杭区供电公司,浙江 杭州 311121;2.输变电装备技术全国重点实验室 (重庆大学),重庆 400044;3.国网浙江省电力有限公司杭州供电公司,浙江 杭州 310016; 4.杭州电力设备制造有限公司余杭群力成套电气制造分公司,浙江 杭州 310016
摘要:
大数据时代数据中心的规模逐年攀升,并且具有高能耗、高弹性和互联互通的负载灵活性。然而当前电力系统运行可靠性评估研究忽略了数据中心的负载灵活性,导致评估结果不准确,且无法反映数据中心的能效状态。为此,首先基于数据中心之间的互联互通和算力负载异地转移特性,提出了数据中心负载灵活性模型。其次,建立了包含数据中心能效与运行可靠性贡献等指标的电力系统运行可靠性评估指标体系。并进一步考虑电负荷、数据中心算力负载和风光等随机性因素,建立了考虑数据中心负载灵活性的电力系统运行可靠性评估模型,提出对应评估方法。最后,通过IEEE RTS算例和实际电网算例进行仿真,结果表明数据中心的负载灵活性不仅有助于可再生能源消纳和电力系统安全可靠运行,还有助于数据中心节能降耗
关键词:  数据中心  负载灵活性  电力系统  运行可靠性评估
DOI:10.19783/j.cnki.pspc.230348
分类号:
基金项目:国家重点研发计划项目资助(2021YFE0191000)
Power system operational reliability evaluation method considering data center load flexibility
WANG Huidong1, GAO Jinkun2, HUANG Jiabin3, YU Juan2, QIAN Shaofeng1, YAO Haiyan4
1. Hangzhou Yuhang District Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 311121, China; 2. State Key Laboratory of Power Transmission Equipment Technology (Chongqing University), Chongqing 400044, China; 3. Hangzhou Power Supply Company, State Grid Zhejiang Electric Power Co., Ltd., Hangzhou 310016, China; 4. Yuhang Qunli Complete Electric Manufacturing Branch, Hangzhou Electric Power Equipment Manufacturing Co., Ltd., Hangzhou 310016, China
Abstract:
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.
Key words:  data center  load flexibility  power system  operational reliability evaluation
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