Exploring power system flexibility regulation potential based on multi-base-station cooperation self-optimising sleep strategy for 5G base stations

被引:2
|
作者
Ma, Xiaoyan [1 ]
Mu, Yunfei [1 ,5 ]
Jia, Hongjie [1 ]
Li, Ming [2 ]
Long, Yu [3 ]
Huang, Qifeng [4 ]
Jiang, Xinyang [1 ]
机构
[1] Tianjin Univ, Key Lab Smart Grid, Minist Educ, Tianjin, Peoples R China
[2] State Grid Corp China, Beijing, Peoples R China
[3] State Grid Jiangsu Elect Power Co Ltd, Nanjing, Peoples R China
[4] State Grid Jiangsu Elect Power Co Ltd, Mkt Serv Ctr, Nanjing, Peoples R China
[5] Tianjin Univ, Room D-518,Bldg 26,Weijin Rd 92, Tianjin 300072, Peoples R China
关键词
5G base station; energy management; multi-base-station cooperation; sleep strategy; user association; USER ASSOCIATION; ENERGY; NETWORKS; PERFORMANCE;
D O I
10.1049/esi2.12130
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
5G base stations (BSs) are potential flexible resources for power systems due to their dynamic adjustable power consumption. However, the ever-increasing energy consumption of 5G BSs places great pressure on electricity costs, and existing energy-saving measures do not fully utilise BS wireless resources in accordance with dynamic changes in communication load, resulting in flexible resource waste and seriously limiting electricity cost savings for 5G BSs. A multi-BS cooperation self-optimising sleep strategy for 5G BSs that consists of an initial user association stage based on multi-BS cooperation (MBSC) and a self-optimising variable-threshold sleep stage (SVTS). First, a heterogeneous cellular network (HCN) model is established. Then, a 5G BS economic optimisation model is constructed, which aims at minimising the electricity cost of the BSs and takes the BS and user equipment (UEs) states in the HCN model as constraints to clarify the optimisation objective and constraints for the proposed strategy. Furthermore, BSs are initially associated with UEs through MBSC, and idle and lightly loaded BSs are then maximally put to sleep through SVTS to reduce power and energy consumption and thereby realise economic optimisation of the BSs. Finally, simulations are conducted to validate the proposed strategy and illustrate the ability of 5G BSs to provide flexible resource regulation for power systems.
引用
收藏
页码:345 / 363
页数:19
相关论文
共 37 条
  • [21] Research on Optimal Regulation of Photovoltaic Integrated 5G Base Stations Based on K-means Clustering Algorithm
    Jiang, Xinyang
    Ma, Xiaoyan
    Zhang, Jiarui
    Wei, Liyong
    Zhao, Chenyang
    2024 7TH ASIA CONFERENCE ON ENERGY AND ELECTRICAL ENGINEERING, ACEEE 2024, 2024, : 393 - 398
  • [22] Long-term Network-based Assessment of the Actual Output Power of Base Stations in a 5G Network
    Joshi, Paramananda
    Colombi, Davide
    Xu, Bo
    Di Paola, Carla
    Bischoff, Jens Eilers
    Zhekov, Stanislav Stefanov
    Tornevik, Christer
    2024 18TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2024,
  • [23] Advanced Sleep Modes in 5G Multiple Base Stations using Non-cooperative Multi-Agent Reinforcement Learning
    Razzac, Amal Abdel
    Chahed, Tijani
    Shamseddine, Zahi
    Zahwa, Wafik
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 7025 - 7030
  • [24] Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System
    Liu, Hanwei
    Li, Wenchao
    Cai, Huiling
    Lin, Qingcheng
    Li, Xuefeng
    Xiao, Hui
    MATHEMATICS, 2022, 10 (15)
  • [25] Siting and Sizing Method for Energy Storage Based on Dispatchable Potential of 5G Base Station and Cluster Partition of Distribution Network
    Li J.
    Song F.
    Ma J.
    Ding Y.
    Yu X.
    Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2023, 47 (18): : 151 - 160
  • [26] A Voltage-Level Optimization Method for DC Remote Power Supply of 5G Base Station Based on Converter Behavior
    Zhu, Binxin
    Guo, Hao
    Wang, Yizhang
    Wang, Kaihong
    ELECTRONICS, 2024, 13 (01)
  • [27] MACHINE LEARNING AND IOT-BASED LI-ION BATTERY CLOUD MONITORING SYSTEM FOR 5G BASE STATIONS
    Li, Xueguang
    Li, Bifeng
    Guo, Sufen
    Sun, Zhanfang
    Wang, Qianqing
    Du, Tongtong
    Lin, Peng
    Zhang, Dongfang
    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2023, 31 (06)
  • [28] Synergetic renewable generation allocation and 5G base station placement for decarbonizing development of power distribution system: A multi-objective interval evolutionary optimization approach
    Zeng, Bo
    Zhang, Weixiang
    Hu, Pinduan
    Sun, Jing
    Gong, Dunwei
    APPLIED ENERGY, 2023, 351
  • [29] Multi-Beam Conformal Array Antenna Based on Highly Conductive Graphene Films for 5G Micro Base Station Applications
    Zheng, Bin
    Li, Xiangyang
    Rao, Xin
    Li, Na
    SENSORS, 2022, 22 (24)
  • [30] 5G Multi-User System Simulations in Line-of-Sight With Space-Tapered Cellular Base Station Phased Arrays
    Aslan, Yanki
    Salman, Salman
    Puskely, Jan
    Roederer, Antoine
    Yarovoy, Alexander
    2019 13TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2019,