Open AccessFramework for Transmission Line Fault Detection in a Five Bus System Using Discrete Wavelet Transform
Author(s) -
Krishna Kumari K,
V. Vanitha,
Mohamed G. Hussien
Publication year - 2021
Publication title -
distributed generation and alternative energy journal
Language(s) - English
Resource type - Journals
eISSN - 2156-3306
pISSN - 2156-6550
DOI - 10.13052/dgaej2156-3306.3737
Subject(s) - fault (geology) , transmission line , discrete wavelet transform , electric power system , wavelet , electric power transmission , wavelet transform , computer science , matlab , transmission system , fault detection and isolation , power (physics) , transmission (telecommunications) , real time computing , electronic engineering , engineering , artificial intelligence , electrical engineering , telecommunications , actuator , physics , quantum mechanics , seismology , geology , operating system
The transmission line is an essential part of the power system and since itis exposed to the harsh environmental conditions, it is susceptible to opencircuit and short circuit faults. As the occurrence of failures affect the qualityof the electric power supplied, identifying the fault and clearing it quickly iscritical for the reliable power system operation. Fault Diagnostics of a multibus system is crucial for Power system stable operation. In this paper, a ve-bus system is taken up for the study and twelve different types of faults withvarying fault durations are applied in transmission lines at different locations.Then Discrete Wavelet Transform (DWT) is applied to the receiving endcurrent signals of the line and derived wavelet coefcients are used to identifythe type of fault. Simulation and extraction of wavelet coefcients are done in MATLAB Simulink and results are presented. The Model Developed of a veBus system for Fault Diagnostics and Simulation can be used as Frameworkfor Fault Classication and Localization. The derived Wavelet Transformproves to be appropriate for the Framework developed.