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Transformer inrush identification based on improved mathematical gradient with dissociative structuring element
Author(s) -
Huang M. C.,
Wu Q. H.,
Ji T. Y.,
Zhang L. L.
Publication year - 2020
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.23159
Subject(s) - inrush current , transformer , structuring element , structuring , morphological gradient , computer science , artificial intelligence , voltage , engineering , mathematical morphology , electrical engineering , image processing , image (mathematics) , finance , economics , binary image
This paper presents an improved morphological gradient for transformer inrush identification. Dissociative structuring element is presented and used to perform gradient operation, which can decrease the computational burden. Besides, a new index is introduced to measure the feature of extracted morphological gradient and to distinguish inrush from fault current. Simulation studies are conducted using PSCAD, and the results verify the effectiveness of the proposed method. © 2020 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.