Siting and Sizing Method for Energy Storage Based on Dispatchable Potential of 5G Base Station and Cluster Partition of Distribution Network

被引：0
作者：
Li J. [1 ]
Song F. [2 ,3 ]
Ma J. [1 ]
Ding Y. [1 ]
Yu X. [2 ,3 ]
机构：
[1] Shenyang Power Supply Company, State Grid Liaoning Electric Power Co., Ltd., Shenyang
[2] Global Energy Interconnection Development and Cooperation Organization, Beijing
[3] Global Energy Interconnection Group Co., Ltd., Beijing
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2023年 / 47卷 / 18期
关键词：
5G base station; bi-level programming model; cluster partition; distribution network; energy storage; evaluation of dispatchable capacity; siting and sizing;
D O I：
10.7500/AEPS20230207001
中图分类号：
学科分类号：
摘要：
With the development of economy, massive and dispersed 5G base stations and distributed photovoltaics will be widely integrated into the distribution network, and the traditional centralized processing method is not suitable for the control and management of the system. Meanwhile, the backup energy storage equipped in 5G base stations provides a flexible resource with considerable capacity and great potential for the power grid. Therefore, a planning method for energy storage considering the dispatchable potential of 5G base stations and cluster partition of distribution networks is proposed. First, an evaluation method for the dispatchable capacity of backup energy storage in 5G base stations considering communication load is proposed, and the interaction model of base station participating in grid dispatching is established. Then, according to the grid structure and the base station-photovoltaic output characteristics, the Fast-Newman algorithm is used to divide the distribution network into clusters, which bundles base stations with photovoltaics. Finally, a bi-level programming model of energy storage is established. The outer layer is responsible for solving the planning scheme of energy storage, and the inner layer is responsible for optimizing the dispatch strategy of energy storage and base stations. The results of cases show that the proposed planning method can reduce the system investment in energy storage, improve system voltage level, and increase the system economy and low-carbon benefits. © 2023 Automation of Electric Power Systems Press. All rights reserved.
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页码：151 / 160
页数：9
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