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

• 电网 • 上一篇    下一篇

基于能量共享与交易协同的5G融合配电网基站储能调控方法

王艳茹1, 尹喜阳2, 欧清海1, 马文洁1, 刘卉1, 杜治钢3   

  1. 1. 北京中电飞华通信有限公司,北京 100085;
    2. 国网天津市电力公司信息通信公司,天津 300010;
    3. 华北电力大学 新能源电力系统国家重点实验室,北京 102206
  • 收稿日期:2022-07-18 修回日期:2023-03-27 出版日期:2023-06-28 发布日期:2023-07-04
  • 作者简介:王艳茹(1985—),女,高级工程师,从事5G融合配电网研究,E-mail:wangyanru@sgitg.sgcc.com.cn;尹喜阳(1978—),男,高级工程师,从事5G融合配电网研究,E-mail:xiyang.yin@tj.sgcc.com.cn;杜治钢(1999—),男,硕士研究生,通信作者,从事基站储能调度、5G基站参与需求响应等研究,E-mail:zhigang_du@ncepu.edu.cn
  • 基金资助:
    国家电网有限公司总部管理科技项目(5G 通信在智能配电网规模化应用技术研究,5700-202112191A-0-0-00)。

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 Online:2023-06-28 Published:2023-07-04
  • 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).

摘要: 随着5G技术的快速发展,高能耗5G基站的规模化应用增大了基站运营成本,加剧了配电网供需不平衡等问题。首先,基于5G基站能耗特性,分析了基站调控潜力,结合5G基站能耗和光伏出力的动态变化,构建了基站间能量共享以及基站与配电网间能量交易模型。然后,以促进5G基站能量共享、提高基站运营效益和参与削峰填谷收益为优化目标,构建了5G融合配电网基站储能调控优化模型,并提出基于能量共享与交易协同的5G基站储能调控算法求解。最后,仿真结果表明:所提方法能够提高基站运营效益,促进配电网削峰填谷,同时实现对光伏出力的有效消纳。

关键词: 5G融合配电网, 能量共享与能量交易协同, 削峰填谷, 动态备电, 光伏消纳

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