电力系统保护与控制2024，Vol.52Issue(9)：154-165,12.DOI:10.19783/j.cnki.pspc.231261
基于算力-能量全分布式在线共享的5G网络负荷管理策略
Energy optimization strategy of a 5G edge network based on load-energy online full-distributed sharing
摘要
Abstract
The massive deployment of information infrastructure including 5G base station and edge computing server has increased the electricity purchasing cost for network operators.Thus it is necessary to promote the interaction of energy between the edge network and power grid to achieve energy saving and cost reduction.Current studies mainly focus on the edge network participating in a day-ahead economic dispatch strategy without considering that the double randomness of renewable energy and network traffic may cause the mismatch of energy supply and demand in the network.To cope with the network load management problem in a strongly random environment,a real-time energy management strategy faced to a virtualized network is proposed.First,to minimize the sum of time-average energy cost,a joint resource allocation,energy storage and energy sharing model is proposed.Second,to solve the proposed multi-slot problem with future network information being unknown,this paper proposes an online resource allocation algorithm based on a stochastic dual-subgradient method.Also,a full distributed energy-computing resource sharing strategy is investigated considering the protection of privacy of operators.Finally,the simulations show that proposed online algorithm effectively reduces the total energy purchasing cost of a 5G edge network without a-priori knowledge.关键词
5G通信/在线调度/信息能量耦合/资源共享/随机对偶次梯度法/联邦梯度下降法Key words
5G communication/online allocation/information-energy coupling/resource sharing/stochastic dual-subgradient method/federal gradient descent method引用本文复制引用
孙毅,陈恺,郑顺林,王文婷,于芃,李开灿,董文秀..基于算力-能量全分布式在线共享的5G网络负荷管理策略[J].电力系统保护与控制,2024,52(9):154-165,12.基金项目
This work is supported by the National Key Research and Development Program of China(No.2022YFB2402900). 国家重点研发计划项目资助(2022YFB2402900) （No.2022YFB2402900）
国家电网科技项目"极高渗透率分布式光伏发电自适应并网与主动同步关键技术"资助(52060023001T) （52060023001T）
