Journal of Electronics and Informatics
IRO Journals
Volume 5 — Issue 3 — September 2023

Analysis and Detection of Power System Network Faults with Wavelet Transform

https://doi.org/10.36548/jei.2023.3.003
Reena Dangi
Department of Electrical Engineering, Western Regional Campus, Tribhuvan University, Pokhara, Nepal
Saroj Kandel
Department of Electrical Engineering, Western Regional Campus, Tribhuvan University, Pokhara, Nepal
Varsha Sen
Department of Electrical Engineering, Western Regional Campus, Tribhuvan University, Pokhara, Nepal
Vision Parajuli
Department of Electrical Engineering, Western Regional Campus, Tribhuvan University, Pokhara, Nepal
Rahul Kumar Jha
Department of Electrical Engineering, Western Regional Campus, Tribhuvan University, Pokhara, Nepal
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How to Cite

Dangi, Reena, Saroj Kandel, Varsha Sen, Vision Parajuli, and Rahul Kumar Jha. 2023. “Analysis and Detection of Power System Network Faults With Wavelet Transform”. Journal of Electronics and Informatics 5 (3): 272-89. https://doi.org/10.36548/jei.2023.3.003.
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Keywords

— Fourier Transform
— Wavelet
— Fault Detection
— MATLAB
— Voltage
Published: 25-09-2023

Abstract

Fault detection technique is important for enhancing protection, stability, reliability and continuity of supply. There are many fault detection techniques implemented in power system such as Fourier transform, wavelet transform, neural networks, etc. This research presents the fault identification and analysis using wavelet transform method as well as estimation of circuit breaker rating. The discrete wavelet transform is implemented for the fault identification in five bus system. Various types of line and ground faults have been considered and studied using Daubechies wavelet function. The first level decomposition is used for the fault analysis. The maximum detailed coefficients for various faults currents are analysed for the fault identification. The wavelet transform algorithm is implemented using MATLAB programming. The five-bus system is modelled in MATLAB Simulink and various faults are simulated. The switching time of fault is taken as 0.05 to 0.1 seconds. The faults have been studied at different points in the system. The fault identification method gives accurate results for different types of faults. The load flow analysis is also done for five bus system and appropriate rating of circuit breaker is estimated.

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