电网运维大数据背景下的继电保护通信系统故障定位方法

针对承载继电保护业务的光纤通信系统频发多通道同时告警事件导致故障定位困难的问题,基于电网运维大数据和贝叶斯网络模型处理方法,提出了一种继电保护通信系统故障定位方法。结合继电保护故障信息管理系统(RPMS)、通信网管系统告警信息和调度运行管理系统(OMS)信息缩小故障定位范围,然后基于由历史运维数据计算得到的先验概率,通过改进的贝叶斯算法进行故障概率计算,推断出故障原因,借助通信资源管控系统信息进行故障定位。算例的计算结果证明了该方法的有效性和准确性。该方法对于多区域并发性故障定位同样适用。

Fault locating method based on big data of power grid operation and maintenance for relay protection communication system

Aiming at the difficulty of fault location caused by frequent multi-channel simultaneous warning events of optical communication subsystem carrying relay protection service in power system, a fault locating method for relay protection communication system is proposed based on big data of power grid operation and maintenance and the Bayesian network model processing method. Combining with the warning information of RPMS(Relay Protection Management System) and communication network management system, combined with information of OMS(Operation Management System),the fault locating area is reduced. Then based on the prior probability calculated by historical operating data, the fault probability is calculated by the improved Bayesian algorithm to infer the cause of fault, and the fault is located by means of the information of communication resource management system. The results of case study prove the validity and accuracy of the proposed method. The proposed method is also suitable for multi-zone fault locating simultaneously.