Optimal Scheduling of 5G Base Station Energy Storage Considering Wind and Solar Complementation

被引：4
|
作者：
Peng, Yangfan [1 ]
Shi, Yong [1 ]
Li, Junshuang [2 ]
Hu, Yan [2 ]
机构：
[1] Shanghai Power Grid Co Ltd, Chongming Power Supply Bur, Shanghai, Peoples R China
[2] Shanghai Jiao Tong Univ, Minist Educ, Key Lab Control Power Transmiss & Convers, Shanghai, Peoples R China
来源：
2022 4TH ASIA ENERGY AND ELECTRICAL ENGINEERING SYMPOSIUM (AEEES 2022) | 2022年
关键词：
5G base station; energy storage; wind-solar complementation; optimal scheduling;
D O I：
10.1109/AEEES54426.2022.9759744
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This article aims to reduce the electricity cost of 5G base stations, and optimizes the energy storage of 5G base stations connected to wind turbines and photovoltaics. Firstly, established a 5G base station load model that considers the influence of communication load and temperature. Based on this model, a model of coordinated optimization scheduling of 5G base station wind turbines, photovoltaics, energy storage, and utility power is established to optimize the charging and discharging of base station energy storage. The analysis results of the calculation example shown that the optimal scheduling of idle energy storage resources of 5G base stations can significantly reduce the electricity cost of 5G base stations while ensuring the backup demand of 5G base station.
引用
收藏
页码：384 / 389
页数：6
相关论文
共 50 条
  • [41] Research on the Trading Strategy of 5G Base Station Virtual Power Plant With Reserve Energy Storage in the Electricity Market
    Wang Z.
    Wang X.
    Yong W.
    Wu W.
    Zhou J.
    Dianwang Jishu/Power System Technology, 2024, 48 (03): : 968 - 978
  • [42] Base Station Antennas for the 5G Mobile System
    Yamada, Yoshihide
    Quzwain, Kamelia M. Chatib
    Idrus, Intan Izafina
    Abd Latef, Tafik
    Ansarudin, Farizah
    Ishfaq, Muhammad Kamran
    Abd Rahman, Tharek
    2018 IEEE INTERNATIONAL RF AND MICROWAVE CONFERENCE (RFM 2018), 2018, : 1 - 4
  • [43] GaN HEMTs for 5G Base Station Applications
    Nakajima, Shigeru
    2018 IEEE INTERNATIONAL ELECTRON DEVICES MEETING (IEDM), 2018,
  • [44] Dynamic Spectrum Allocation by 5G Base Station
    Zhang, Yizhe
    He, Dazhi
    He, Wen
    Xu, Yin
    Guan, Yunfeng
    Zhang, Wenjun
    2020 16TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE, IWCMC, 2020, : 1463 - 1467
  • [45] Optimal energy-aware load balancing and base station switch-off control in 5G HetNets
    Lassila, Pasi
    Gebrehiwot, Misikir Eyob
    Aalto, Samuli
    COMPUTER NETWORKS, 2019, 159 : 10 - 22
  • [46] Base station radome design for 5G and beyond
    Vaha-Savo, Lauri
    Shoghibadr, Nasrin
    Icheln, Clemens
    Haneda, Katsuyuki
    2024 18TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION, EUCAP, 2024,
  • [47] 5G Base Station Prototyping: Architectures Overview
    Bakhtin, Alexander
    Omelyanchuk, Elena
    Mikhailov, Victor
    Semenova, Anastasia
    PROCEEDINGS OF THE 2019 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (EICONRUS), 2019, : 1564 - 1568
  • [48] Development Challenges for 5G Base Station Antennas
    Wu, Zehai
    Wu, Biqun
    Su, Zhenhua
    Zhang, Xiuyin
    2018 IEEE INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY (IWAT), 2018,
  • [49] Multi-Objective based Optimal Generation Scheduling Considering Wind and Solar Energy Systems
    Salkuti, Surender Reddy
    Sandeep, Vuddanti
    Babu, B. Chitti
    Jung, Chan-Mook
    INTERNATIONAL JOURNAL OF EMERGING ELECTRIC POWER SYSTEMS, 2018, 19 (05):
  • [50] Optimal energy scheduling of micro-grids considering the uncertainty of solar and wind renewable resources
    Taghikhani, Mohammad Ali
    Zangeneh, Behnam
    JOURNAL OF SCHEDULING, 2022, 25 (05) : 567 - 576
12345