Framework for Transmission Line Fault Detection in a Five Bus System Using Discrete Wavelet Transform

  • Krishna Kumari K Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwavidyapeetham, India
  • V. Vanitha Department of Electrical and Electronics Engineering, Shree Krishna College of Engineering and Technology, Coimbatore, India
  • Mohamed G. Hussien Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt
Keywords: Line fault, Discrete Wavelet transforms (DWT), Wavelet coefficient, five bus system, MATLAB

Abstract

The transmission line is an essential part of the power system and since it is exposed to the harsh environmental conditions, it is susceptible to open circuit and short circuit faults. As the occurrence of failures affect the quality of the electric power supplied, identifying the fault and clearing it quickly is critical for the reliable power system operation. Fault Diagnostics of a multi bus system is crucial for Power system stable operation. In this paper, a five-bus system is taken up for the study and twelve different types of faults with varying fault durations are applied in transmission lines at different locations. Then Discrete Wavelet Transform (DWT) is applied to the receiving end current signals of the line and derived wavelet coefficients are used to identify the type of fault. Simulation and extraction of wavelet coefficients are done in MATLAB Simulink and results are presented. The Model Developed of a five Bus system for Fault Diagnostics and Simulation can be used as Framework for Fault Classification and Localization. The derived Wavelet Transform proves to be appropriate for the Framework developed.

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Author Biographies

Krishna Kumari K, Department of Electrical and Electronics Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwavidyapeetham, India

Krishna Kumari K is presently pursuing her Ph.D in the field of Electric Vehicle Integration with Smart Grid under Visveswaraya Fellowship from Department of Electronics and Telecommunication. She has completed in M. Tech in Control and Automation from Maharaja Sayajirao University of Baroda with Gold Medal.

V. Vanitha, Department of Electrical and Electronics Engineering, Shree Krishna College of Engineering and Technology, Coimbatore, India

V. Vanitha is currently with the Department of Electrical and Electronics Engineering, Shree Krishna College of Engineering and Technology, Coimbatore, India. His research interests are in Electrical Engineering.

Mohamed G. Hussien, Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt

Mohamed G. Hussien is currently an assistant professor at the Department of Electrical Power and Machines Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt. He has published scientific papers in both international conferences and high-quality SCI journals. He is currently serving as an Editorial Board Member for the International Research Journal of Innovations in Engineering and Technology – IRJIET. He has been serving as a reviewer for both IEEE conferences and many IEEE journals (including the IEEE access and the IEEE Trans. on Industrial Electronics and the IEEE Trans. on Power Electronics). He is a member of the IEEE-IES Electric Machines Technical Committee. His paper has been selected as one of the best papers published in the period (2019–2020) in the IEEE Transactions on Energy Conversion in the “Power generations systems and grid interfaces” area. His research interests are in Electrical Machines Analysis, Electrical Drives, Electric Vehicles, Sensorless Control, Doubly-Fed Machines, Power Electronics, and Renewable Energy Systems.

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Published
2021-12-08
Section
SPECIAL ISSUE: Energy Access & Off-Grid Systems for Residential Microgrids/Nanog