Coordinated scheduling of 5G base station energy storage for voltage regulation in distribution networks

被引：0

作者：

Sun, Peng ^{[1
]}

Zhang, Mengwei ^{[1
]}

Liu, Hengxi ^{[1
]}

Dai, Yimin ^{[1
]}

Rao, Qian ^{[1
]}

机构：

[1] College of Electrical and Information Engineering, Hunan University, Changsha

来源：

Frontiers in Energy Research | 2024年 / 12卷

关键词：

5G base station energy storage; aggregation; distribution network; optimal scheduling; voltage regulation;

D O I：

10.3389/fenrg.2024.1485135

中图分类号：

TN8 [无线电设备、电信设备];

学科分类号：

0810 ; 081001 ;

摘要：

With the rapid development of 5G base station construction, significant energy storage is installed to ensure stable communication. However, these storage resources often remain idle, leading to inefficiency. To enhance the utilization of base station energy storage (BSES), this paper proposes a co-regulation method for distribution network (DN) voltage control, enabling BSES participation in grid interactions. In this paper, firstly, an energy consumption prediction model based on long and short-term memory neural network (LSTM) is established to accurately predict the daily load changes of base stations. Secondly, a BSES aggregation model is constructed by using the power feasible domain maximal inner approximation method and Minkowski summation to evaluate the charging and discharging potential and adjustable capacity of BSES clusters. Subsequently, a BSES demand assessment and optimal scheduling model for low voltage regulation in DN is developed. This model optimizes the charging and discharging strategies of BSES to alleviate low voltage problems in DN. Finally, the simulation results effectively verify the feasibility of the proposed optimal scheduling method of BSES for voltage regulation in DN. Copyright © 2024 Sun, Zhang, Liu, Dai and Rao.

引用

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