4.4 Article

Algorithm for transformer differential protection based on wavelet correlation modes

Journal

IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 10, Issue 12, Pages 2871-2879

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2015.1147

Keywords

power transformer protection; differential transformers; correlation methods; discrete wavelet transforms; matrix algebra; fault currents; transformer differential protection; wavelet correlation modes; internal faults; inrush current conditions; power transformers; discrete wavelet transform; fault currents; wavelet matrix; correlation matrix; frequency scale; power systems computer-aided design software

Funding

  1. CONACYT (Mexico)/CONICET (Argentina) [189382]

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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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