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智能变电站过程层网络监控方法
引用本文:罗凌璐,彭奇,王德辉,李超,沈健.智能变电站过程层网络监控方法[J].电力系统自动化,2018,42(11):151-156.
作者姓名:罗凌璐  彭奇  王德辉  李超  沈健
作者单位:南瑞集团(国网电力科学研究院)有限公司;国电南瑞科技股份有限公司;智能电网保护和运行控制国家重点实验室
基金项目:国家电网公司科技项目“智能变电站通信网络可靠性及信息安全关键技术研究与应用”
摘    要:针对智能变电站过程层网络难以直接监控以及无法实现故障定位的问题,分析了过程层网络通信虚链路和物理链路映射关系问题,提出了一种基于过程层交换机的过程层网络动态监控方法。该方法将过程层交换机作为过程层网络运行状态的数据采集和监控单元,网络分析仪作为辅助分析工具,通过动态学习过程层网络拓扑、建立链路映射关系以及基于虚链路的流量统计列表,最终实现故障定位和过程层网络状态监控。实验表明该方法简单可行。

关 键 词:智能变电站  过程层网络  交换机拓扑学习  链路映射关系  动态监控
收稿时间:2017/7/28 0:00:00
修稿时间:2018/5/4 0:00:00

Monitoring Method of Process Level Network in Smart Substation
LUO Linglu,PENG Qi,WANG Dehui,LI Chao and SHEN Jian.Monitoring Method of Process Level Network in Smart Substation[J].Automation of Electric Power Systems,2018,42(11):151-156.
Authors:LUO Linglu  PENG Qi  WANG Dehui  LI Chao and SHEN Jian
Affiliation:NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China,NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China and NARI Group Corporation(State Grid Electric Power Research Institute), Nanjing 211106, China; NARI Technology Co. Ltd., Nanjing 211106, China; State Key Laboratory of Smart Grid Protection and Control, Nanjing 211106, China
Abstract:In order to solve the problem of direct monitoring and fault location of the process level network in the smart substation, the mapping relationship between the virtual link and the physical link in the process level network is analyzed. A dynamic monitoring method of the process level network is proposed based on the process level switch. This method adopts the process level switch as the data acquisition and monitoring unit for running states of the process level network, and the network analyzer is employed as an assistant analysis tool. By dynamically learning the topology of process level network, the link mapping relationship and the list of traffic statistics based on the virtual link are established. Finally, the fault location and state monitoring of process level network are realized. The feasibility of the method has been verified by experiments.
Keywords:smart substation  process level network  switch topology learning  link mapping relationship  dynamic monitoring
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