Modal Transformation based Fault Location in Radial Distribution Network

IF 0.9 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering and Technological Sciences Pub Date : 2023-05-19 DOI:10.5614/j.eng.technol.sci.2023.55.2.2

Thant Sin Aung, Wunna Swe

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引用次数: 0

Abstract

This paper introduces the technique of fault distance estimation based on modal transformation and signal processing. The recorded faulted phase currents are applied to the Karrenbauer model transformation and these model component currents are decomposed into detail coefficients by the use of Daubechies wavelet, db6. The fault recorder installed at the terminal of the feeder records different time delays between the modal components. In order to find fault distance, the time delay values and modal components velocity are used in traveling wave theory. This paper compares two different conditions: the first condition does not use a modal transformation and the second condition uses a modal transformation. When using modal transformation conditions, three different coefficient levels (detail coefficient level 1 (D1); the combination of detail coefficient level 1+2 (D1+2) and the combination of detail coefficient level 1+2+3 (D1+2+3) ) are used to estimate the fault distance. Different fault types with different fault locations are created in MATLAB simulation.

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基于模态变换的径向配电网故障定位

介绍了基于模态变换和信号处理的故障距离估计技术。将记录的故障相电流应用于Karrenbauer模型变换，并利用Daubechies小波变换db6将这些模型分量电流分解为细节系数。安装在馈线末端的故障记录仪记录了模态组件之间的不同时间延迟。在行波理论中，采用时延值和模态分量速度来确定故障距离。本文比较了两种不同的条件:第一种条件不使用模态变换，第二种条件使用模态变换。当使用模态变换条件时，三个不同的系数级别(细节系数级别1 (D1);采用详细系数1+2级(D1+2)和详细系数1+2+3级(D1+2+3)的组合来估计故障距离。在MATLAB仿真中创建了不同故障位置的不同故障类型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Engineering and Technological Sciences ENGINEERING, MULTIDISCIPLINARY-

CiteScore

2.30

自引率

11.10%

发文量

审稿时长

24 weeks

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