Algorithm for transformer differential protection based on wavelet correlation modes

Daniel Guillén; Hector Esponda; Ernesto Vázquez; Gina Idárraga-Ospina

Algorithm for transformer differential protection based on wavelet correlation modes

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Author(s): Daniel Guillén ¹ ; Hector Esponda ¹ ; Ernesto Vázquez ¹ ; Gina Idárraga-Ospina ¹
- Affiliations: 1: Programa Doctoral de Ingeniería Eléctrica (DIE), Universidad Autónoma de Nuevo León (UANL), Monterrey, Nuevo Leon, México
Source: Volume 10, Issue 12, 02 September 2016, p. 2871 – 2879
DOI: 10.1049/iet-gtd.2015.1147 , Print ISSN 1751-8687, Online ISSN 1751-8695

Received 21/09/2015, Accepted 12/05/2016, Revised 25/04/2016, Published 02/09/2016

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.

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Algorithm for transformer differential protection based on wavelet correlation modes

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