Open AccessAlgorithm for transformer differential protection based on wavelet correlation modes
Author(s) -
Guillén Daniel,
Esponda Hector,
Vázquez Ernesto,
IdárragaOspina Gina
Publication year - 2016
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2015.1147
Subject(s) - inrush current , wavelet , discrete wavelet transform , stationary wavelet transform , wavelet transform , algorithm , cascade algorithm , eigenvalues and eigenvectors , transformer , wavelet packet decomposition , mathematics , electronic engineering , computer science , engineering , electrical engineering , artificial intelligence , voltage , physics , quantum mechanics
In this study, a new algorithm for discrimination between internal faults and inrush current conditions in power transformers is presented. First, the proposed algorithm removes the pre‐fault conditions of the fault currents. Then, those currents are processed using the discrete wavelet transform to obtain the wavelet matrix. The correlation matrix is computed from wavelet matrix to know the eigenvalues associated with each frequency scale and to reduce the analysed information. This algorithm, which the authors are going to call wavelet correlation modes, is used to identify inrush and internal fault currents in power transformer. To validate the proposed algorithm, simulations are carried out in power systems computer‐aided design software, and the obtained signals are analysed in order to evaluate its performance and sensitivity.