智能变电站多信息融合建模的通信链路故障定位方法

Fault Location Method for Communication Link with Multi-information Fusion Modeling of Smart Substation

为解决智能变电站通信链路故障所致告警信息繁多、运维效率低下的问题,提出一种智能变电站多信息融合建模的通信链路故障定位方法。首先,基于全站配置描述(substation configuration description,SCD)文件遍历网络节点,构建通信网络编号原则;融合多告警信息,构建节点、链路编码规则,形成节点-链路映射关系并建立定位模型;采用自适应遗传粒子群算法求解定位模型,实现故障链路精准定位。以某220 kV智能变电站二次网络为例,验证了所提方法在不同链路故障场景下的有效性。

In order to solve such problems of smart substations as numerous alarm information caused by communication link failure and poor operation efficiency,a fault location method for communication link is proposed with multi-information fusion modeling of smart substation.Firstly,a communication network numbering principle is proposed by traversing the device nodes of SCD.Secondly,by fusing multiple alarm information,the node and link coding rules are formulated,and the node-link mapping relationship and positioning model are established.And then,the adaptive genetic particle swarm algorithm is used to solve the positioning model to achieve accurate positioning of link faults.Finally,taking the secondary network of a 220 kV smart substation as an example,the effectiveness of the proposed method is verified under different link failure scenarios.