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1.电力传输与功率变换控制教育部重点实验室(上海交通大学),上海市 200240
2.国网上海市电力公司,上海市 200122
朱浩瑜(1996—),男,硕士研究生,主要研究方向:智能变电站、综合能源系统、电力系统规划。E-mail:245142655@qq.com
胡炎(1975—),男,通信作者,博士,副教授,硕士生导师,主要研究方向:能源互联网和能源路由器、综合能源系统、智能变电站等。E-mail:yanhu@sjtu.edu.cn
邰能灵(1972—),男,博士,教授,博士生导师,主要研究方向:电力系统继电保护和电力系统综合自动化。E-mail:nltai@sjtu.edu.cn
收稿日期:2021-09-19,
修回日期:2022-02-10,
网络出版日期:2022-04-11,
纸质出版日期:2022-10-10
移动端阅览
朱浩瑜,胡炎,邰能灵等.考虑数据中心租赁意愿的多站融合运营模式[J].电力系统自动化,2022,46(19):104-112.
ZHU Haoyu,HU Yan,TAI Nengling,et al.Multi-station Integrated Operation Mode Considering Data Center Leasing Intention[J].Automation of Electric Power Systems,2022,46(19):104-112.
朱浩瑜,胡炎,邰能灵等.考虑数据中心租赁意愿的多站融合运营模式[J].电力系统自动化,2022,46(19):104-112. DOI: 10.7500/AEPS20210919001.
ZHU Haoyu,HU Yan,TAI Nengling,et al.Multi-station Integrated Operation Mode Considering Data Center Leasing Intention[J].Automation of Electric Power Systems,2022,46(19):104-112. DOI: 10.7500/AEPS20210919001.
在“变电站-新能源站-储能电站-数据中心”四站合一的多站融合模式下,数据中心租赁储能电站的储能设备作为不间断电源是一种能适应数据中心业务需求量逐年增长趋势的新型建设方式。针对数据中心储能租赁设计了一种多站融合运营模式,并通过构建数据中心-多站融合运营商储能租赁博弈模型,得到了考虑数据中心租赁意愿的多站融合运营商最优储能租赁价格与租赁容量,以及新能源设备和储能设备的最优建设容量。通过算例分析了储能租赁价格变化对于多站融合运营商及数据中心决策方案和收益的影响,验证了所提运营模式的优越性。
In the multi-station integrated mode of the four stations in one
i.e.
“substation-new energy station-energy storage power station-data center”
leasing energy storage device from energy storage stations as uninterrupted power supply (UPS) is a new construction method that can adapt to the increasing trend of data center business demand year by year. A multi-station integrated operation mode is designed for the energy storage leased by data centers. By establishing a game model of energy storage leasing between data centers and multi-station integrated operators
the optimal energy storage leasing price and leasing capacity of multi-station integrated operators considering the leasing intention of data centers are obtained
as well as the optimal construction capacity of new energy equipment and energy storage equipment. An example is given to analyze the effect of variation of the energy storage leasing price on the decision-making schemes and revenues of multi-station integrated operators and data centers
and to verify the effectiveness of the proposed operation mode.
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