Open AccessDiscrimination of internal fault from magnetising inrush current in power transformers based on sine‐wave least‐squares curve fitting method
Author(s) -
Ahmadi Mohammad,
Samet Haidar,
Ghanbari Teymoor
Publication year - 2015
Publication title -
iet science, measurement and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.418
H-Index - 49
eISSN - 1751-8830
pISSN - 1751-8822
DOI - 10.1049/iet-smt.2014.0012
Subject(s) - sine wave , inrush current , current transformer , control theory (sociology) , dc bias , phasor , mathematics , transformer , sine , residual , algorithm , engineering , electric power system , computer science , power (physics) , voltage , electrical engineering , physics , geometry , control (management) , quantum mechanics , artificial intelligence
This study deals with a method for discrimination between magnetising inrush and internal fault currents in three‐phase transformers based on sine‐wave curve fitting. A sine wave is fitted to the normalised differential current by using the least‐squares technique for each phase. The difference between the normalised differential currents and the fitted signals are calculated, which are hereafter named residual signals (RSs). Maximum range of the RSs variations is utilised for the definition of a simple criterion. Based on this criterion, the discrimination is realised within less than a half cycle of power frequency. In order to eliminate the impact of the current transformer (CT) saturation on the performance of the proposed technique, the currents are compensated by a CT saturation compensation algorithm in the first step. The proposed method is evaluated and compared with some well‐known methods by a large number of simulation and experimental data. Furthermore, the proposed algorithm is evaluated in the case of a transformer, which is fed through a feeder with series capacitors. The results confirm that reliability, accuracy and speed response of the proposed technique is more than the other methods.