应用5G消息和共享风险链路组的电力需求响应系统设计  

Design of power demand response system using 5G message and shared risk link group

作　　者：丁麒 王庆娟 卢侃 周青睐 陈永杲 DING Qi;WANG Qingjuan;LU Kan;ZHOU Qinglai;CHEN Yonggao(Marketing Service Center,State Grid Zhejiang Electric Power Co.,Ltd.,Hangzhou 311100,China;Wuyi Power Supply Company,State Grid Zhejiang Electric Power Co.,Ltd.,Jinhua 321200,China;State Grid Zhejiang Tongxiang Power Supply Co.,Ltd.,Tongxiang 314500,China)

机构地区：[1]国网浙江省电力有限公司营销服务中心,浙江杭州311100 [2]国网浙江省电力有限公司武义县供电公司,浙江金华321200 [3]国网浙江桐乡市供电有限公司,浙江桐乡314500

出　　处：《电子设计工程》2023年第4期118-122,共5页Electronic Design Engineering

摘　　要：针对传统电力需求响应系统中存在的网络传输可靠性低和系统推广性差等问题,应用5G消息与共享风险链路组技术,提出了一种电力需求响应系统设计方案。该方案对网络传输层的性能进行优化,并通过引入一个拥堵-网络风险指数来定量评估网络质量。同时,综合考虑网络链路中存在的节点风险、链路风险与共享风险,对传输网络进行优化,从而降低网络传输过程中发生通信故障的可能性。采用5G消息结合人工智能与自然语言处理技术,实现了该系统业务的智能化应用,并在优化后的传输网络中进行仿真实验。实验结果表明,所提出的网络优化算法相较于DPP算法,网络阻塞率降低了约40%。Aiming at the problems of low network transmission reliability and poor system promotion in traditional power demand response systems,this paper applies 5G messaging and shared risk link group technology to propose a power demand response system design scheme. This scheme optimizes the performance of the network transmission layer,and quantitatively evaluates the network quality by introducing a congestion-network risk index. At the same time,comprehensively consider the node risk,link risk and sharing risk existing in the network link to optimize the transmission network,thereby reducing the possibility of communication failures during network transmission. The use of 5G messaging combined with artificial intelligence and natural language processing technology realizes the intelligent application of the system′s business. Simulation experiments were carried out in the optimized transmission network. The experimental results show that compared with the DPP algorithm,the proposed network optimization algorithm reduces the network congestion rate by about 40%.

关 键 词：电力需求响应 可靠性 5G消息 共享风险链路组 人工智能 自然语言处理 

分 类 号：TN911[电子电信—通信与信息系统] TP391[电子电信—信息与通信工程]