Hybrid Control Strategy for 5G Base Station Virtual Battery-Assisted Power Grid Peak Shaving

被引:0
|
作者
Zhu, Siqiao [1 ]
Ma, Rui [1 ]
Zhou, Yang [1 ]
Zhong, Shiyuan [2 ]
机构
[1] Changsha Univ Sci Technol, Sch Elect & Informat Engn, Changsha 410114, Peoples R China
[2] State Grid Jiangxi Elect Power Co Ltd, Econ & Technol Res Inst, Nanchang 330006, Peoples R China
基金
中国国家自然科学基金;
关键词
5G base station; peak shaving; communication load; air conditioning load; optimize scheduling; ENERGY; ALLOCATION; CAPACITY; SYSTEM;
D O I
10.3390/electronics13173488
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of the digital new infrastructure industry, the energy demand for communication base stations in smart grid systems is escalating daily. The country is vigorously promoting the communication energy storage industry. However, the energy storage capacity of base stations is limited and widely distributed, making it difficult to effectively participate in power grid auxiliary services by only implementing the centralized control of base stations. Aiming at this issue, an interactive hybrid control mode between energy storage and the power system under the base station sleep control strategy is delved into in this paper. Grounded in the spatiotemporal traits of chemical energy storage and thermal energy storage, a virtual battery model for base stations is established and the scheduling potential of battery clusters in multiple scenarios is explored. Then, based on the time of use electricity price and user fitness indicators, with the maximum transmission signal and minimum operating cost as objective functions, a decentralized control device is used to locally and quickly regulate the communication system. Furthermore, a multi-objective joint peak shaving model for base stations is established, centrally controlling the energy storage system of the base station through a virtual battery management system. Finally, a simulation analysis was conducted on data from different types of base stations in the region, designing two distinct scheduling schemes for four regional categories. The analysis results demonstrate that the proposed model can effectively reduce the power consumption of base stations while mitigating the fluctuation of the power grid load.
引用
收藏
页数:30
相关论文
共 50 条
  • [41] Energy-efficient 5G cloud RAN with virtual BBU server consolidation and base station sleeping
    Sigwele, Tshiamo
    Hu, Yim Fun
    Susanto, Misfa
    COMPUTER NETWORKS, 2020, 177
  • [42] Robust Power Control for 5G Small Cell Networks with Sleep Strategy
    Liu, Zhixin
    Wu, Jieshuai
    Yuan, Yazhou
    Guan, Xinping
    WIRELESS PERSONAL COMMUNICATIONS, 2021, 116 (03) : 2205 - 2222
  • [43] Robust Power Control for 5G Small Cell Networks with Sleep Strategy
    Zhixin Liu
    Jieshuai Wu
    Yazhou Yuan
    Xinping Guan
    Wireless Personal Communications, 2021, 116 : 2205 - 2222
  • [44] Model predictive control based control strategy for battery energy storage system integrated power plant meeting deep load peak shaving demand
    Zhu, Jianzhong
    Cui, Xiaobo
    Ni, Weidong
    JOURNAL OF ENERGY STORAGE, 2022, 46
  • [45] 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,
  • [46] Novel Continuous Inverse Class F Power Amplifier for High Power 5G Macro Base Station Application
    Sharma, Tushar
    Zhu, Ning
    Roberts, Jeffrey
    Holmes, Damon H.
    2021 IEEE MTT-S INTERNATIONAL MICROWAVE SYMPOSIUM (IMS), 2021, : 729 - 731
  • [47] An intelligent energy saving strategy recommendation method of 5G base station based on GBDT plus FM
    Lv, Tiantian
    Sun, Qiong
    Zhang, Le
    Wu, Yanqin
    Zhang, Jun
    2024 IEEE 21ST INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SMART SYSTEMS, MASS 2024, 2024, : 520 - 526
  • [48] Fuzzy Logic Control Strategy for a Hybrid RES (PV/Lithium Battery) Feeding an off-grid Pumping Station
    Salem, Wafa Ben
    Chaouali, Houssem
    Mezghani, Dhafer
    Mami, Abdelkader
    INTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCH, 2021, 11 (01): : 462 - 472
  • [49] Exploring power system flexibility regulation potential based on multi-base-station cooperation self-optimising sleep strategy for 5G base stations
    Ma, Xiaoyan
    Mu, Yunfei
    Jia, Hongjie
    Li, Ming
    Long, Yu
    Huang, Qifeng
    Jiang, Xinyang
    IET ENERGY SYSTEMS INTEGRATION, 2024, 6 (04) : 345 - 363
  • [50] A base station ON-OFF switch algorithm with grid-based traffic map in dense 5G network
    Tong, Zongjian
    Xu, Fangmin
    Zhao, Chenglin
    2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 655 - 660