Switching Modeling and Application in Fault Diagnosis Algorithm Testing of Distribution Network

被引：0

作者：

Xue, Guiting ^{[1
]}

Liu, Zhe ^{[1
]}

Han, Zhaoru ^{[2
]}

Shi, Fang ^{[2
]}

Wang, Ti ^{[1
]}

Wang, Xiao ^{[1
]}

机构：

[1] State Grid Beijing Haidian Electric Power Supply Company, Beijing

[2] School of Electrical Engineering, Shandong University, Jinan

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2024年 / 58卷 / 09期

关键词：

arcing model; distribution network; fault diagnosis; switching;

D O I：

10.16183/j.cnki.jsjtu.2023.129

中图分类号：

学科分类号：

摘要：

Fault diagnosis in power distribution networks is crucial for fault location, enhancement of fault processing efficiency, and reduction of power outage losses. Currently, the impact of switch operations and other interferences is seldomly considered in fault diagnosis algorithm designing and testing, which may lead to frequent mal-function and poor performance in practical applications. In this paper, a detailed analysis and modeling of the transient process of switch operation in distribution networks is proposed with the combination of the Mayr and the Helmer models. The transient waveform of the on-site operation process is compared and analyzed with the simulation waveforms generated in PSCAD. Based on the accuracy verification of the model, typical fault scenarios in distribution networks, including switch operation processes, are constructed for fault diagnosis algorithm tests. Compared to the traditional model, the model proposed can simulate and generate disturbance data close to the on-site switch operation process for reliability testing of fault diagnosis algorithms. Finally, several suggestions for optimizing the fault diagnosis algorithm and testing process are proposed through result analysis. © 2024 Shanghai Jiaotong University. All rights reserved.

引用

页码：1381 / 1389

页数：8

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