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题名

Reusing backup batteries as BESS for power demand reshaping in 5G and beyond

作者
通讯作者Guo,Deke
DOI
发表日期
2021-05-10
ISSN
0743-166X
ISBN
978-1-6654-3131-6
会议录名称
卷号
2021-May
页码
1-10
会议日期
10-13 May 2021
会议地点
Vancouver, BC, Canada
摘要
The mobile network operators are upgrading their network facilities and shifting to the 5G era at an unprecedented pace. The huge operating expense (OPEX), mainly the energy consumption cost, has become the major concern of the operators. In this work, we investigate the energy cost-saving potential by transforming the backup batteries of base stations (BSs) to a distributed battery energy storage system (BESS). Specifically, to minimize the total energy cost, we model the distributed BESS discharge/charge scheduling as an optimization problem by incorporating comprehensive practical considerations. Then, considering the dynamic BS power demands in practice, we propose a deep reinforcement learning (DRL) based approach to make BESS scheduling decisions in real-time. The experiments using real-world BS deployment and traffic load data demonstrate that with our DRL-based BESS scheduling, the peak power demand charge of BSs can be reduced by up to 26.59%, and the yearly OPEX saving for 2, 282 5G BSs could reach up to US$185, 000.
关键词
学校署名
其他
语种
英语
相关链接[Scopus记录]
收录类别
WOS研究方向
Computer Science ; Engineering ; Telecommunications
WOS类目
Computer Science, Hardware & Architecture ; Computer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号
WOS:000702210400094
EI入藏号
20213210732873
EI主题词
Deep learning ; Digital storage ; Electric power utilization ; Energy storage ; Energy utilization ; Reinforcement learning ; Scheduling ; Secondary batteries
EI分类号
Energy Utilization:525.3 ; Energy Storage:525.7 ; Secondary Batteries:702.1.2 ; Electric Power Systems:706.1 ; Data Storage, Equipment and Techniques:722.1 ; Artificial Intelligence:723.4 ; Management:912.2
Scopus记录号
2-s2.0-85111907089
来源库
Scopus
全文链接https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9488760
引用统计
被引频次[WOS]:9
成果类型会议论文
条目标识符http://sustech.caswiz.com/handle/2SGJ60CL/242735
专题南方科技大学
未来网络研究院
作者单位
1.Peng Cheng Laboratory,Shenzhen,Guangdong,China
2.National University of Defense Technology,Changsha,Hunan,China
3.University of Victoria,Victoria,Canada
4.Southern University of Science and Technology,Shenzhen,Guangdong,China
推荐引用方式
GB/T 7714
Tang,Guoming,Yuan,Hao,Guo,Deke,et al. Reusing backup batteries as BESS for power demand reshaping in 5G and beyond[C],2021:1-10.
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