Strategy of 5G Base Station Energy Storage Participating in the Power System Frequency Regulation

被引:3
|
作者
Ding, Gangwei [1 ]
Li, Lijuan [1 ,2 ]
Li, Yue [1 ]
Zhang, Qingsong [1 ]
Luo, Cheng [4 ]
Chen, Qi [3 ]
Zheng, Xinhui [1 ]
机构
[1] Xiangtan Univ, Coll Automat & Elect Informat, Xiangtan 411105, Peoples R China
[2] Minist Educ, Key Lab Control Power Transmiss & Convers SJTU, Shanghai 200240, Peoples R China
[3] Xiangtan Univ, Hunan Natl Ctr Appl Math, Xiangtan 411105, Peoples R China
[4] State Grid Kashi Power Supply Co, Kashgar 844000, Peoples R China
基金
中国国家自然科学基金;
关键词
5G base station; Energy storage; Frequency response; Frequency regulation; BATTERY;
D O I
10.1007/s13369-023-07723-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The proportion of traditional frequency regulation units decreases as renewable energy increases, posing new challenges to the frequency stability of the power system. The energy storage of base station has the potential to promote frequency stability as the construction of the 5G base station accelerates. This paper proposes a control strategy for flexibly participating in power system frequency regulation using the energy storage of 5G base station. Firstly, the potential ability of energy storage in base station is analyzed from the structure and energy flow. Then, the framework of 5G base station participating in power system frequency regulation is constructed, and the specific steps are described. Finally, with the objective to minimize the power vacancy, the optimization model of the 5G base station auxiliary power system frequency response is established. Considering two cases of power system frequency rises and drops, the response proportion of base station in different operating states is solved from the proposed model. The simulation results show that the proposed method can not only help the system frequency recover quickly, but also reduce overshoot when the frequency fluctuates of power system.
引用
收藏
页码:14537 / 14548
页数:12
相关论文
共 50 条
  • [31] Distribution Network Restoration Supply Method Considers 5G Base Station Energy Storage Participation
    Wang X.
    Kang Q.
    Liang Z.
    Guo L.
    Zhang F.
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2024, 39 (11): : 3538 - 3555
  • [32] Research on Performance of Power Saving Technology for 5G Base Station
    Zhang, Hua
    Guo, Han
    Xie, Weiliang
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 194 - 198
  • [33] Dynamic Power Management for 5G Small Cell Base Station
    Suzuki, Yuta
    Sakamoto, Ryuichi
    Nakamura, Hiroshi
    2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2021, : 492 - 500
  • [34] Dispatching Strategy of Energy Storage for 5G Base Stations Based on Deep Reinforcement Learning
    Jiang T.
    Xie L.
    Du Y.
    Ouyang C.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (09): : 147 - 157
  • [35] On hybrid energy utilization for harvesting base station in 5G networks
    Yu, Chih-Min
    Tala't, Mohammad
    Feng, Kai-Ten
    ENERGY SCIENCE & ENGINEERING, 2020, 8 (03) : 768 - 778
  • [36] Collaborative Optimization Scheduling of 5G Base Station Energy Storage and Distribution Network Considering Communication Load and Power Supply Reliability
    Li J.
    Hu Y.
    Tai N.
    Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2023, 57 (07): : 791 - 802
  • [37] Energy Efficient Base Station Transmit Power Adaptation for Green 5G Massive MIMO Systems
    Vahid, Kh
    Sali, A.
    Salah, Asem A.
    Ali, B. M.
    Abdullah, R. S. A. Raja
    Krikidis, I.
    2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), 2019,
  • [38] Detector Processor for a 5G Base Station
    Niu, Cao
    Liu, Dake
    SENSORS, 2022, 22 (20)
  • [39] Design of an Atmospheric Monitoring Network System for 5G Base Station
    Li, Wei
    Wang, Han
    Wu, Jing
    Yu, Baocheng
    Xu, Wenxia
    Zhang, Min
    Guo, Ran
    Shen, Jinfei
    2021 4TH INTERNATIONAL CONFERENCE ON ROBOTICS, CONTROL AND AUTOMATION ENGINEERING (RCAE 2021), 2021, : 333 - 337
  • [40] A Two-Layer Optimization Approach for Distribution Network Reconfiguration Considering Optimal Regulation of 5G Base Station Backup Energy Storage
    Ma, Xiufan
    Zhang, Lexuan
    Yu, Kunpeng
    Yang, Lu
    Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2024, 39 (16): : 5028 - 5041