NDLI: Algorithm for transformer differential protection based on wavelet correlation modes

Content Provider	IET Digital Library
Author	Guillén, Daniel Esponda, Hector Vázquez, Ernesto Ospina, Gina Idárraga
Abstract	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.
Starting Page	2871
Ending Page	2879
Page Count	9
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 12, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1147
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-09-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Correlation Matrix Correlation Method Differential Transformers Discrete Wavelet Transform Fault Current Frequency Scale Inrush Current Condition Integral Transforms Internal Fault Matrix Algebra Power System Computer-aided Design Software Power System Protection Power Transformer Power Transformer Protection Transformer And Reactors Transformer Differential Protection Wavelet Correlation Mode Wavelet Matrix
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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