Open AccessHybrid algorithm for traction transformer differential protection based on intrinsic mode function energy entropy and correlation dimension
Author(s) -
Tian Xingjun,
Li Yunhua,
Li Xiaqing
Publication year - 2014
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2012.0653
Subject(s) - differential protection , inrush current , entropy (arrow of time) , linear variable differential transformer , transformer , algorithm , control theory (sociology) , computer science , engineering , electrical engineering , voltage , distribution transformer , physics , artificial intelligence , control (management) , quantum mechanics
This study addresses fault identification in differential protection of a V/x‐type traction transformer used in a high‐speed railway. To quickly and accurately identify an internal short circuit in a traction transformer, a hybrid algorithm is developed that combines intrinsic mode function (IMF) energy entropy with the correlation dimension from chaos theory. IMF energy entropy and correlation dimension are sufficiently fast and sensitive to reflect the dynamic changes in the differential‐current signal from the traction transformer using different metrics; thus, this hybrid method can effectively identify an internal short circuit and magnetising inrush. Real‐time simulations and actual measurements of faults illustrate the validity of the proposed method.