基于分层定位模型的含DG配电网故障定位方法研究

针对现有配电网故障定位算法在含DG的故障定位中存在耗时长、准确率低等问题，提出了一种将分层模型与改进免疫算法相结合用于含DG的配电网故障定位方法。简化配电网模型，使用改进的免疫算法定位故障区域，并使用改进的免疫算法对故障区域进行二次定位。通过试验对单点故障和多点故障进行分析，验证了所提方法的优越性。试验结果表明，相比于传统的故障定位方法，所提方法引入了分层理论，有效降低了故障节点的搜索维数，在保证速度的情况下，具有较高的故障定位精度。

A fault location method for a distribution network with DG based on a hierarchical location model

Aiming at the problems of long time consuming and low accuracy of existing fault location algorithms in distribution network with DG, a hierarchical model combined with an improved immune algorithm is proposed for distribution network fault location with DG. This paper simplifies the distribution network model, uses the improved immune algorithm to locate the fault area, and uses it again to locate the fault area again. The advantages of the proposed method are verified by analyzing single point fault and multi-point fault through experiment. The experimental results show that compared with the traditional fault location methods, the proposed method introduces the hierarchical theory, which effectively reduces the search dimension of fault nodes and has high fault location accuracy while ensuring the speed. This work is supported by the Science and Technology Project of State Grid Corporation of China (No. 5215F02000DA).