Differential Protection Algorithm Founded on Kalman Filter Based Phase Tracking

Mohsen Tajdinian, Haidar Samet (Corresponding author), Ziad M. Ali

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Owing to the large magnitude of the inrush currents, the functionality of differential protection of power transformer may be threatened in correct discrimination between inrush and internal faults. This paper enhances the functionality of differential protection through a computationally efficient method that utilizes the phase angle current signals of the current transformers (CTs). The proposed discrimination criterion (PDC) tracks the fundamental phase angle of the current signals of the CTs. While during an internal fault, the phase angles of both CTs are almost constant and in phase, during the external fault and inrush currents, the phase angles of both CTs have notable distance. On this ground, this paper employs a developed Kalman filter based phase angle estimator to measure the fundamental phase angles of the current signals of the CTs. Afterward, PDC is introduced that measures the distance between the estimated phase angles of the CT’s currents. Evaluating the effectiveness of the PDC with several simulated and experimental recorded current signals reveals the PDC is able to detect internal faults even in presence of CT saturation and also to deal with inrush and external fault currents.
Original languageEnglish
Article number9001109
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Volume71
Early online dateDec 2021
DOIs
Publication statusPublished - 2022

Keywords

  • Circuit faults
  • Current transformers
  • Differential Protection
  • Harmonic analysis
  • Inrush current
  • Kalman filters
  • Magnetization Current
  • Power Transformer
  • Power harmonic filters
  • Surge protection
  • Differential protection
  • magnetization current
  • power transformer

Fingerprint

Dive into the research topics of 'Differential Protection Algorithm Founded on Kalman Filter Based Phase Tracking'. Together they form a unique fingerprint.

Cite this