Optimal Scheduling of 5G Base Station Energy Storage Considering Wind and Solar Complementation

被引：4

作者：

Peng, Yangfan ^{[1
]}

Shi, Yong ^{[1
]}

Li, Junshuang ^{[2
]}

Hu, Yan ^{[2
]}

机构：

[1] Shanghai Power Grid Co Ltd, Chongming Power Supply Bur, Shanghai, Peoples R China

[2] Shanghai Jiao Tong Univ, Minist Educ, Key Lab Control Power Transmiss & Convers, Shanghai, Peoples R China

来源：

2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022) | 2022年

关键词：

5G base station; energy storage; wind-solar complementation; optimal scheduling;

D O I：

10.1109/AEEES54426.2022.9759744

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This article aims to reduce the electricity cost of 5G base stations, and optimizes the energy storage of 5G base stations connected to wind turbines and photovoltaics. Firstly, established a 5G base station load model that considers the influence of communication load and temperature. Based on this model, a model of coordinated optimization scheduling of 5G base station wind turbines, photovoltaics, energy storage, and utility power is established to optimize the charging and discharging of base station energy storage. The analysis results of the calculation example shown that the optimal scheduling of idle energy storage resources of 5G base stations can significantly reduce the electricity cost of 5G base stations while ensuring the backup demand of 5G base station.

引用

页码：384 / 389

页数：6

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