基于逻辑运算的配电网故障定位方法及算例分析

Fault Location Method and Case Analysis of Distribution Network Based on Logic Operations

为提高配电网故障定位准确率,针对传统算法模型在故障区段定位方面的不足,提出一种基于逻辑运算的故障定位方法。利用逻辑运算来描述节点和断面之间的因果关系,并构建故障定位的数值计算模型。仿真实验结果表明,粒子群优化算法和深度学习算法的准确率未达到100%,且粒子群优化算法的召回率最小为84%,而逻辑运算方法对不同预设故障区域的单一故障的定位准确率和定位召回率均为100%。因此,文章提出的基于逻辑运算的配电网故障定位方法准确率最高,具有较好的应用价值。

In order to improve the accuracy of fault location in distribution network,aiming at the shortcomings of traditional algorithm model in fault section location,a fault location method based on logical operation is proposed.Logical operation is used to describe the causal relationship between nodes and sections,and a numerical calculation model for fault location is constructed.The simulation results show that the accuracy of particle swarm optimization algorithm and deep learning algorithm does not reach 100%,and the minimum recall rate of particle swarm optimization algorithm is 84%,while the location accuracy and recall rate of logical operation method for single fault in different preset fault areas are both 100%.Therefore,the distribution network fault location method based on logical operation proposed in this paper has the highest accuracy and good application value.