Electric Power ›› 2023, Vol. 56 ›› Issue (6): 61-70.DOI: 10.11930/j.issn.1004-9649.202207038

• Power System • Previous Articles     Next Articles

Energy Storage Regulation Method of Base Stations in 5G Integrated Distribution Network Based on Energy Sharing and Trading Coordination

WANG Yanru1, YIN Xiyang2, OU Qinghai1, MA Wenjie1, LIU Hui1, DU Zhigang3   

  1. 1. Beijing Fibrlink Communications Co., Ltd., Beijing 100085, China;
    2. Information and Telecommunication Branch, State Grid Tianjin Electric Power Company, Tianjin 300010, China;
    3. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
  • Received:2022-07-18 Revised:2023-03-27 Accepted:2022-10-16 Online:2023-06-23 Published:2023-06-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research on Large-Scale Application Technology of 5G Communication in Smart Distribution Network, No.5700-202112191A-0-0-00).

Abstract: With the rapid development of 5G technology, the large-scale application of 5G base stations with high energy consumption increases the operation costs of base stations and exacerbates problems such as the supply-demand imbalance in the distribution network. To this end, this paper analyzes the regulation potential of 5G base stations based on their energy consumption characteristics and constructs the energy sharing model among base stations and the energy trading model between base stations and distribution network by combining the dynamic changes of energy consumption and photovoltaic output of 5G base stations. Then, with the optimization objectives of promoting energy sharing of 5G base stations, improving operation efficiency of base stations, and participating in peak shaving and valley filling, the optimization problem of energy storage regulation of base stations in a 5G integrated distribution network is constructed, and an energy storage regulation algorithm of 5G base stations based on energy sharing and trading coordination is proposed. Finally, simulation results show that the proposed algorithm can improve the operation efficiency of base stations, promote peak shaving and valley filling in the distribution network, and effectively consume photovoltaic output.

Key words: 5G integrated distribution network, energy sharing and energy trading coordination, peak shaving and valley filling, dynamic power backup, photovoltaic consumption