基于支持向量机和智能电表的分布式发电配电系统故障定位

R. Pérez, C. Vásquez
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引用次数: 15

摘要

本文利用支持向量机和系统上的智能电表提供的信息对分布式发电配电系统进行故障定位。针对5 ~ 30欧姆的故障电阻,以5欧姆为步长,模拟了配电系统中可能出现的不同类型的故障。利用分布式发电和智能电表中变电站测量的有效电压值对支持向量机进行训练。结果表明,该工具对所有类型故障的定位精度均高于87%,证明了该工具的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault Location in distribution systems with distributed generation using Support Vector Machines and smart meters
In this paper the fault location is presented in distribution systems with distributed generation using Support Vector Machines and information provided by smart meters located on the system. Different types of faults that can occur in a distribution system are simulated for fault resistances 5 to 30 Ohms in steps of 5 Ohms. Support Vector Machines were trained with effective voltage values measured at the substation in distributed generation and smart meters. The results show that the accuracy in locating all types of failure is higher than 87%, demonstrating a fortress in this tool.
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