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A Fault Location Method of Error Correction based on Ant Colony Algorithm for Distribution Network

机译:基于蚁群算法的分发网络纠错故障定位方法

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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.
机译:电流分布网络故障定位系统具有较弱的容错性。当由FTU上传的信息错误时,通常会出现误判。蚁群算法具有强大的稳健性,并且可以更好地解决组合优化问题,如分销网络故障位置。本文提出了一种基于蚁群算法的分发网络纠错故障定位方法。采用yu xi 10 kv v循环分配网络作为实验的示例。实验表明,当由FTU上传的信息错误时,该方法可以准确地确定故障位置。它显着降低了停电时间和停电范围,这是有利于用于配送网络的稳定电源。

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