配电网故障定位系统是一个实时在线的处理系统,其故障信息大多来自于户外的FTU通信装置,对于配电网故障定位矩阵算法,当各FTU的上传信息有误时往往会出现误判,导致事故范围扩大,停电时间延长,直接降低了供电可靠性。因此,研究一种具有较强容错性的算法是配电网故障定位研究中迫切需要解决的问题。蚁群算法具有较强的鲁棒性,适用于求解配电网故障定位的组合优化问题。本文提出了一种基于蚁群算法的配电网自纠错故障定位方法,并以玉溪10 kV州城V回线配电网为例,分析了在FTU数据误码和上发延时两种情况 The distribution network fault location system is a real-time on-line processing system. Most of its fault information comes from outdoor FTU communication devices. For the fault location matrix algorithm of distribution network, misjudgment often occurs when the upload information of each FTU is incorrect. As a result, the accident range expanded and power cut-off time prolonged, which directly reduced the reliability of power supply. Therefore, researching a kind of algorithm with strong fault tolerance is an urgent problem that needs to be solved in the research of distribution network fault location. Ant colony algorithm is robust and suitable for combinatorial optimization of distribution network fault location. In this paper, an ant colony algorithm based fault location method for distribution network self-correction fault is proposed. Taking the 10kV Guangzhou-Chengdu V loop distribution network as an example, the paper analyzes two kinds of FTU data error code and delay Happening