基于贝叶斯公式的似然比形式的配电网故障定位方法

Fault Location Based on Bayes Probability Likelihood Ratio for Distribution Networks

提出了一种基于贝叶斯(Bayes)概率公式的似然比形式的配电网故障定位算法,建立基于该算法的故障寻址模型,利用SCADA系统采集到的负荷开关的故障信息序列。进行似然比运算,在最大故障概率条件下进行故障定位。算法简洁、实用,能够在一定程度上屏蔽SCADA数据的错误和畸变,并通过算例验证了算法的准确性和有效性。

Based on Bayes probability likelihood ratio, a new fault location algorithm for distribution networks is proposed. A fault diagnosis model is established firstly, and then by using the fault information sequence gathered by the SCADA system from load switches, the probability likelihood ratios are calculated using the algorithm proposed. Finally, by searching the maximal fault probability, the fault section in distribution networks can be identified and isolated, in which the error and aberrance of SCADA information are screened to a certain extent. As a practical method, the SCADA information based fault location method can quickly determine the fault location. Examples are given to verify its correctness and effectiveness.