A Novel Algorithm for Greatly Accurate Electrical Fault Detection and Classification Based on Haar Wavelet

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

The present investigation presents an algorithm for fault detection and classification in transmission lines using the Haar-type wavelet mother transform. Voltage and current signals contain all the information of the power system, therefore when a fault occurs in the electrical power system, these signals present disturbances in their amplitude, phase changes and presence of harmonics. Mathematically, all mother wavelets respond with an impulse when there is an abrupt change in the signals, this property allows to detect when a fault has occurred (in the time domain). Experimental results have shown that with frequencies above 100 kHz it is possible to detect a fault with 100% accuracy by taking only 4 samples of the signal and applying the Haar wavelet. The fault detection times vary between 0.31 ms and 1.15 ms and the fault classification times vary between 0.94 s and 1.31 s.

Idioma originalInglés
Título de la publicación alojadaSmart Technologies, Systems and Applications - 2nd International Conference, SmartTech-IC 2021, Revised Selected Papers
EditoresFabián R. Narváez, Julio Proaño, Paulina Morillo, Diego Vallejo, Daniel González Montoya, Gloria M. Díaz
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas143-157
Número de páginas15
ISBN (versión impresa)9783030991692
DOI
EstadoPublicada - 2022
Evento2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021 - Quito, Ecuador
Duración: 1 dic. 20213 dic. 2021

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen1532 CCIS
ISSN (versión impresa)1865-0929
ISSN (versión digital)1865-0937

Conferencia

Conferencia2nd International Conference on Smart Technologies, Systems and Applications, SmartTech-IC 2021
País/TerritorioEcuador
CiudadQuito
Período1/12/213/12/21

Nota bibliográfica

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Huella

Profundice en los temas de investigación de 'A Novel Algorithm for Greatly Accurate Electrical Fault Detection and Classification Based on Haar Wavelet'. En conjunto forman una huella única.

Citar esto