Hybrid algorithm for traction transformer differential protection based on intrinsic mode function energy entropy and correlation dimension

Xingjun Tian; Yunhua Li; Xiaqing Li

Hybrid algorithm for traction transformer differential protection based on intrinsic mode function energy entropy and correlation dimension

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Author(s): Xingjun Tian ¹ ; Yunhua Li ¹ ; Xiaqing Li ²
- Affiliations: 1: School of Automation Science and Electrical Engineering, Beihang University, Xueyuan Road No. 37, Beijing 100191, People's Republic of China;
  2: College of Information Engineering, Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
Source: Volume 8, Issue 7, July 2014, p. 1274 – 1283
DOI: 10.1049/iet-gtd.2012.0653 , Print ISSN 1751-8687, Online ISSN 1751-8695

Received 06/11/2012, Accepted 31/12/2013, Revised 16/12/2013, Published 12/02/2014

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.

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Hybrid algorithm for traction transformer differential protection based on intrinsic mode function energy entropy and correlation dimension

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