基于蚁群算法的配电网故障定位纠错方法

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Pub Date : 2017-03-01 DOI:10.1109/IAEAC.2017.8053968

Junkai Ge, Jing Zhang, Xiang Hu, Ti-yin Li, Haiyan Yao, Yu Su, Jiafang Wu

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引用次数: 5

摘要

现有配电网故障定位系统容错能力较弱。当FTU上传的信息错误时，往往会出现误判。蚁群算法具有较强的鲁棒性，能较好地解决配电网故障定位等组合优化问题。提出了一种基于蚁群算法的配电网纠错故障定位方法。以豫西10kv V回路配电网为例进行试验。实验表明，当FTU上传的信息错误时，该方法可以准确地确定故障位置。大大减少了停电时间和停电范围，有利于配电网的稳定供电。

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A fault location method of error correction based on ant colony algorithm for distribution network

Current distribution network fault location system has a weak fault tolerance. When the information uploaded by FTU is wrong, the misjudgment will often appear. The ant colony algorithm has strong robustness, and it can solve the combinatorial optimization problems better, like distribution network fault location. This paper proposes a fault location method of error correction based on ant colony algorithm for distribution network. Take Yu Xi 10 kV V loop distribution network as an example for experiments. Experiments show that when the information uploaded by FTU is wrong, the method can accurately determine the fault location. It considerably reduces the outage time and power outage scope, which is advantageous to stable power supply for distribution network.

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来源期刊

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

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