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Journal of applied research and technology
versão On-line ISSN 2448-6736versão impressa ISSN 1665-6423
Resumo
MOGHIMI HAJI, M.; VAHIDI, B. e HOSSEINIAN, S. H.. Current Transformer Saturation Detection Using Gaussian Mixture Models. J. appl. res. technol [online]. 2013, vol.11, n.1, pp.79-87. ISSN 2448-6736.
This paper presents a novel current transformer (CT) saturation detection approach based on Gaussian Mixture Models (GMMs). High accuracy is the advantage of this method. GMMs are trained with secondary current of CT. The appropriate performance of the proposed method is tested by simulation of different fault conditions in PSCAD/EMTDC software. The results show that the trained GMMs can successfully detect CT saturation with high accuracy.
Palavras-chave : CT saturation; GMM; protective relaying; transient analysis.