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

doi:10.16183/j.cnki.jsjtu.2023.129

Abstract

Abstract:

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.

Key words: distribution network, switching, arcing model, fault diagnosis

CLC Number:

TM743

XUE Guiting, LIU Zhe, HAN Zhaoru, SHI Fang, WANG Ti, WANG Xiao. Switching Modeling and Application in Fault Diagnosis Algorithm Testing of Distribution Network[J]. Journal of Shanghai Jiao Tong University, 2024, 58(9): 1381-1389.

Figures/Tables 13

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