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1. 智能电网教育部重点实验室(天津大学),天津市 300072
2. 全球能源互联网研究院有限公司,北京市 102200
王玚(1998—),女,硕士研究生,主要研究方向:智能配电网运行优化。E-mail:wy_1998@tju.edu.cn
李鹏(1981—),男,博士,教授,主要研究方向:分布式发电与智能配电网的运行、仿真与分析。E-mail:lip@tju.edu.cn
冀浩然(1991—),男,通信作者,博士,副教授,主要研究方向:智能配电网运行优化。E-mail:jihaoran@tju.edu.cn
收稿日期:2021-12-15,
修回日期:2022-03-02,
网络出版日期:2022-05-13,
纸质出版日期:2022-07-25
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王玚,李鹏,冀浩然等.考虑多类型资源的数据中心园区供电协调规划[J].电力系统自动化,2022,46(14):19-28.
WANG Yang,LI Peng,JI Haoran,et al.Coordination Planning of Power Supply in Data Center Park Considering Multiple Resources[J].Automation of Electric Power Systems,2022,46(14):19-28.
王玚,李鹏,冀浩然等.考虑多类型资源的数据中心园区供电协调规划[J].电力系统自动化,2022,46(14):19-28. DOI: 10.7500/AEPS20211215008.
WANG Yang,LI Peng,JI Haoran,et al.Coordination Planning of Power Supply in Data Center Park Considering Multiple Resources[J].Automation of Electric Power Systems,2022,46(14):19-28. DOI: 10.7500/AEPS20211215008.
随着数字化时代到来,数据中心的数量和规模与日俱增,已成为配电网中一类重要的需求响应资源。为提高设备利用效率,数据中心可通过柔性配电设备与园区内光伏、储能系统化集成,进一步保障数据中心的供电可靠性与运行经济性。提出了一种考虑多类型资源的数据中心园区供电协调规划方法。首先,对数据中心园区内多类型设备进行建模。在此基础上,建立了考虑多类型资源的数据中心园区供电规划模型,以数据中心园区设备投资成本和运行成本最小为目标,合理规划园区内柔性变电站各换流器容量、数据中心各类型服务器数量、储能系统及光伏系统的容量。最后,采用数据中心园区算例,验证了考虑多类型资源的数据中心园区供电协调规划的经济效益,分析了不同因素对数据中心园区规划结果的影响。
With digital era approaching
the quantity and scale of data centers are increasing rapidly. Data center has become an important demand response resource. To improve the utilization of equipment
the data center can be systematically integrated with photovoltaic (PV) and energy storage system (ESS) in the park through flexible distribution equipment to ensure the power supply reliability and operation economy of the data center. A coordination planning method of power supply in data center parks with multiple resources is proposed. First
the multiple equipment is modeled for data center parks. On this basis
a power supply planning model for data center parks is established considering multiple resources. With the objective of minimizing the equipment investment and operation cost in data center parks
the converter capacity of flexible substations
the server number of data centers
and the capacity of ESS and PV are optimally determined. Finally
a case of a data center park is used to verify the economic benefits of the coordination planning of power supply in data center parks with multiple resources. In addition
the impacts of different factors on the planning results of data center parks are analyzed.
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