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考虑负荷时空迁移的5G基站与配电网协同优化运行

Collaborative optimal operation of 5G base station and distribution network based on load spatial and temporal migration
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摘要 快速增长的5G基站电力负荷给通信运营商及城市配电网带来了挑战。合理利用5G基站负荷的时空灵活性特征,可以降低基站用电成本以及缓解配电网供电压力。围绕5G基站负荷的时空灵活性特征,分析基站负荷通过时空迁移参与需求响应的潜力;基于负荷时间迁移角度的基站备用储能调度及空间迁移角度的基站休眠手段,以基站与配电网总运行成本最低为目标,建立5G基站与配电网协同优化运行模型。算例分析结果表明,5G基站基于时空灵活特征参与配电网协同优化运行,可以有效降低基站的功耗及运营成本,提高配电网新能源消纳率,促进电网经济、可靠运行。 The rapidly growing load of 5G base station has brought challenge to the communication operator and urban distribution network.The rational use of spatial and temporal flexibility characteristic of 5G base station load can reduce the power usage cost of base station and alleviate the power supply pressure of distribution network.Focusing on the spatial and temporal flexibility characteristic of 5G base station load,the potential of base station load participating in the demand response through spatial and temporal migration is analyzed.On the basis of backup energy storage scheduling of base station from the perspective of load time migration and the sleep method of base station from the perspective of spatial migration,a collaborative optimal operation model of 5G base station and distribution network is established with the minimum total operating cost of base station and distribution network as the object.The example analysis results show that the participating of 5G base station in the collaborative optimal operation of distribution network based on spatial and temporal flexibility characteristic can effectively reduce the power consumption and operating cost of base station,improve the new energy consumption rate of distribution network,and promote the economic and reliable operation of power grid.
作者 于昌平 王琦 吴舒坦 胡秦然 叶宇剑 汤奕 YU Changping;WANG Qi;WU Shutan;HU Qinran;YE Yujian;TANG Yi(School of Electrical Engineering,Southeast University,Nanjing 210096,China)
出处 《电力自动化设备》 EI CSCD 北大核心 2024年第12期195-203,共9页 Electric Power Automation Equipment
基金 国家自然科学基金资助项目(52261145704)。
关键词 5G基站 时空迁移 储能 通信负载 配电网 优化运行 5G base station spatial and temporal migration energy storage communication load distribution network optimal operation
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