DocumentCode :
647764
Title :
Inrush identification by applying improved Morphological Gradient Algorithm
Author :
Wu, W.C. ; Ji, T.Y. ; Li, M.S. ; Zhang, Linda L. ; Wu, Q.H.
Author_Institution :
Sch. of Electr. Power, South China Univ. of Technol. (SCUT), Guangzhou, China
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Inrush current identification is one of the most important aspects in transformer differential protection. However, the traditional methods of inrush identification are not reliable in some particular cases. This paper presents a novel scheme for three phase transformer protection, which effectively identifies inrush currents. In the proposed method, the improved Morphological Gradient Algorithm is employed to extract the features of inrush. Simulation studies have been performed to demonstrate the accuracy and efficiency of the new approach using PSCAD/EMTDC and MATLAB. The proposed method is able to distinguish between an internal fault and inrush, even under CT saturation condition, and its required calculation is simple.
Keywords :
differential transformers; fault diagnosis; gradient methods; mathematical morphology; power transformer protection; CT saturation condition; MATLAB; PSCAD-EMTDC; improved morphological gradient algorithm; inrush current identification; internal fault; three phase transformer protection; transformer differential protection; Circuit faults; Fault currents; Feature extraction; Magnetic cores; Power transformers; Surge protection; Surges; Inrush identification; mathematical morphology; morphological gradient; power system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672295
Filename :
6672295
Link To Document :
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