基于多基站合作自优化睡眠策略的 5G 基站电力系统灵活性调节潜力探索

IF 1.6 Q4 ENERGY & FUELS
Xiaoyan Ma, Yunfei Mu, Hongjie Jia, Ming Li, Yu Long, Qifeng Huang, Xinyang Jiang
{"title":"基于多基站合作自优化睡眠策略的 5G 基站电力系统灵活性调节潜力探索","authors":"Xiaoyan Ma, Yunfei Mu, Hongjie Jia, Ming Li, Yu Long, Qifeng Huang, Xinyang Jiang","doi":"10.1049/esi2.12130","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":33288,"journal":{"name":"IET Energy Systems Integration","volume":"73 7","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring power system flexibility regulation potential based on multi‐base‐station cooperation self‐optimising sleep strategy for 5G base stations\",\"authors\":\"Xiaoyan Ma, Yunfei Mu, Hongjie Jia, Ming Li, Yu Long, Qifeng Huang, Xinyang Jiang\",\"doi\":\"10.1049/esi2.12130\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":33288,\"journal\":{\"name\":\"IET Energy Systems Integration\",\"volume\":\"73 7\",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2023-12-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IET Energy Systems Integration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1049/esi2.12130\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Energy Systems Integration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1049/esi2.12130","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

摘要

5G 基站(BS)的功耗可动态调整,是电力系统潜在的灵活资源。然而,5G BS 不断增加的能耗给电力成本带来了巨大压力,现有的节能措施不能根据通信负载的动态变化充分利用 BS 无线资源,造成了灵活资源的浪费,严重制约了 5G BS 的电力成本节约。针对5G BS的多BS合作自优化睡眠策略,包括基于多BS合作的初始用户关联阶段(MBSC)和自优化可变阈值睡眠阶段(SVTS)。首先,建立异构蜂窝网络(HCN)模型。然后,构建了一个 5G BS 经济优化模型,该模型以 BS 的电力成本最小化为目标,并将 HCN 模型中的 BS 和用户设备(UE)状态作为约束条件,从而明确了建议策略的优化目标和约束条件。此外,最初通过 MBSC 将 BS 与 UE 关联,然后通过 SVTS 使空闲和轻载 BS 最大限度地进入休眠状态,以降低功耗和能耗,从而实现 BS 的经济优化。最后,通过仿真验证了所提出的策略,并说明了 5G BS 为电力系统提供灵活资源调节的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring power system flexibility regulation potential based on multi‐base‐station cooperation self‐optimising sleep strategy for 5G base stations
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
IET Energy Systems Integration
IET Energy Systems Integration Engineering-Engineering (miscellaneous)
CiteScore
5.90
自引率
8.30%
发文量
29
审稿时长
11 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信