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