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
  • [21] Security Aware Virtual Base Station Placement in 5G Cloud Radio Access Networks
    Sigwele, Tshiamo
    Pillai, Prashant
    Sangodoyin, Abimbola
    Hu, Yim Fun
    WIRELESS AND SATELLITE SYSTEMS, WISATS 2017, 2018, 231 : 3 - 10
  • [22] Innovation and Pricing Pressures Drive 5G Base Station Power Amplifier Trends
    Buey, Cyril
    Malaquin, Cedric
    MICROWAVE JOURNAL, 2023, 66 (06) : 46 - 52
  • [23] Control System Design of Battery-Assisted Quasi-Z-Source Inverter for Grid-Tie Photovoltaic Power Generation
    Liu, Yushan
    Ge, Baoming
    Abu-Rub, Haitham
    Peng, Fang Zheng
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2013, 4 (04) : 994 - 1001
  • [24] Scheduling Strategy of Battery Swapping Stations for Electric Heavy-duty Trucks Participating in Power Grid Peak-shaving Regulation
    Cheng F.
    Guo C.
    Gao Z.
    Zhao B.
    Hai X.
    Cao X.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2024, 48 (09): : 120 - 128
  • [25] Assisted Outdoor 5G Base Station Coverage Using Passive Intelligent Reflecting Surfaces
    Zhu, Shi-Long
    Al-Nuaimi, Mustafa K. Taher
    Ding, Wen
    Huang, Guan-Long
    Yang, Hua
    2024 INTERNATIONAL CONFERENCE ON MICROWAVE AND MILLIMETER WAVE TECHNOLOGY, ICMMT, 2024,
  • [26] Base Station Social-aware Caching Strategy for 5G Ultra Dense Networks
    Li, Yongjing
    Zhang, Xing
    Zhang, Jiaxin
    Wang, Shuo
    Wang, Danyang
    2017 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2017,
  • [27] Hysteretic Base Station Sleeping Control for Energy Saving in 5G Cellular Network
    Yang, Juwo
    Wang, Wenbo
    Zhang, Xing
    2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [28] A Virtual over-the-Air Method for 5G Massive MIMO Base Station Testing With Flexible Virtual Probes
    Gao, Huaqiang
    Wang, Weimin
    Wu, Yongle
    Liu, Yuanan
    Pedersen, Gert Frolund
    IEEE ACCESS, 2019, 7 : 108474 - 108485
  • [29] Integrated control strategy for 5G base station frequency regulation considering spatio-temporal variations in communication load
    Lu, Weicheng
    Li, Hailiang
    Mo, Weike
    JOURNAL OF ENERGY STORAGE, 2024, 95
  • [30] MPC based control strategy for battery energy storage station in a grid with high photovoltaic power penetration
    Zhang, Feng
    Fu, Aihui
    Ding, Lei
    Wu, Qiuwei
    INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2020, 115