摘要
智能变电站的状态监测可为二次设备的状态检修提供信息基础。介绍了一种应用于智能变电站业务回路的实时状态监测及分析系统。该系统能够利用广泛分布的采集单元对各设备的状态进行监测,并通过分析单元解析变电站配置信息,进而在客户端上显示出业务回路的内在结构。系统根据其自身的在线数据库与离线数据库,利用前者将解析出的配置信息形成无向图,并缓存监测系统的监测结果;利用离线数据库储存相关设备测试数据。两者协同工作,并辅以基于马尔科夫链的功能失效算法,实时地为二次回路的状态检修工作提供参考。
Intelligent substation condition monitoring can provide information for the secondary equipment state overhaul. This paper introduces a realtime condition monitoring and analysis system for intelligent substation functional loop. The system can execute equipment condition monitoring depending on the widespread collection units,and through the unit analysis interprets the substation configuration information,then displays the interior structure of functional loop on the client end. According to its own online and offline database,the system employs the online database to transfer the interpreted configuration information into the undirected graph,and cache the the results of monitoring system; the offline database is used to store related equipment test data. The collaboration of two databases,supplemented by the dysfunctional algorithm based on Markov chain,provides a real-time reference for the conditionbased maintenance of the secondary loop.
出处
《华东电力》
北大核心
2014年第10期2100-2104,共5页
East China Electric Power
关键词
智能变电站
业务回路状态监测
功能失效算法
intelligent substation
functional loop
condition monitoring
dysfunctional algorithm