Journal of Shanghai Jiao Tong University ›› 2026, Vol. 60 ›› Issue (4): 628-641.doi: 10.16183/j.cnki.jsjtu.2024.123

• New Type Power System and the Integrated Energy • Previous Articles     Next Articles

Distributed Optimization of Distribution Network Considering Regulation of 5G Base Station Communication Load and Backup Energy Storage

YUAN Kai1, WANG Feifei2, ZHANG Shenxi2,3(), SUN Chongbo1, SONG Yi1, HOU Ruosong4, CHENG Haozhong2   

  1. 1 State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China
    2 Key Laboratory of Control of Power Transmission and Transformation of the Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China
    3 Shanghai Non-Carbon Energy Conversion and Utilization Institute, Shanghai Jiao Tong University, Shanghai 200240, China
    4 Economic and Technical Research Institute, State Grid Hebei Electric Power Co., Ltd., Shijiazhuang 050021, China
  • Received:2024-04-11 Revised:2024-06-11 Accepted:2024-06-28 Online:2026-04-28 Published:2026-04-29
  • Contact: ZHANG Shenxi E-mail:willzsx@sjtu.edu.cn

Abstract:

5G base stations are in a critical period of large-scale application, and high energy consumption poses economic challenges that hinder their development. At the same time, 5G base stations are usually equipped with energy storage batteries to ensure power supply reliability, of which idle energy provides flexible and dispatchable resources for the power grid. To reduce the power consumption of 5G base stations and make full use of energy storage resources, first, a 5G base station power consumption model is developed, and the impact of massive access of mobile users on backup energy storage and dispatchable energy of the 5G base station is analyzed. Then, a backup energy storage aggregation regulation model is established based on energy boundary projection. Finally, a cooperative game model is constructed considering the participation of 5G base station operators in power transactions, and solved by using the alternating direction multiplier method. The calculation example analysis shows that communication load transfer can effectively reduce the power consumption of 5G base stations in low load periods and increase the dispatchable energy of energy storage. The proposed distributed optimization operation model can effectively achieve mutual benefits for 5G base stations and other stakeholders.

Key words: 5G base station, communication load, backup energy storage, alternating direction method of multipliers

CLC Number: