面向影响分析的电力通信网故障定位算法

Algorithm of Fault Locating on Impact Analysis in Power Communications Network

由于电力通信网络具有极高可用性和风险规避的特点,使传统通信网在关注故障影响程度上有很大不同.针对遗漏通信网络故障可能导致电力事故的问题,提出了可信参数最小损失故障定位算法.算法基于加权概率二分图模型,在分析故障对症状的覆盖和贡献的基础上,重点考虑遗漏故障所造成影响,通过加入可信参数来优先选择给定影响度之上的假设故障集.仿真实验表明,最小损失故障定位算法能够在有效考虑删除故障可能影响的同时,兼顾对已观察症状的合理解释,在不增加算法复杂度的情况下,相对其他算法有较小的误判率和较短的算法平均运行时间,可以更好地适应于电力通信网络中的故障定位.

Because the extremely high availability and the characteristics of risk aversion are demanded in electric power communication network,there is great difference between the electric power communication network and conventional communication networks. The minimum loss of credible parameter( MLCP) algorithm has been proposed for the problem that the missing faults can lead to the possibility of power accident. Briefly reviewing and summarizing the symptom of coverage and contribution in classic algorithm, the impact of the fault loss is put more attention to,which is of advantage in power communication network and add the credible parameter to select the hypothesis fault firstly. Simulations show that MLCP algorithm can make the reasonable explanation for the observed symptoms with smaller false positive rate( FPR) and averaging running time of algorithm than other algorithms,without increasing the complexity of the algorithm. The MLCP algorithm is more appropriate to the fault location in the electric power communication network.