A fault classification technique for transmission lines using an improved alienation coefficients technique

Haidar Samet (Corresponding author), Amin Shabanpour-Haghighi, Teymoor Ghanbari

Research output: Contribution to journalArticleAcademicpeer-review

12 Citations (Scopus)

Abstract

The recently proposed techniques for detection and classification of different faults are amenable to statistical-based methods such as correlation or alienation coefficients. In this paper, an improved alienation coefficient-based classification algorithm is proposed. In the method, a modified alienation coefficient formula is suggested, by which different faults could be identified more accurately. Switching of heavy loads is also considered in the proposed algorithm. The performance of the method is evaluated by simulation of a typical power system in different conditions. The results confirm high capabilities of the proposed method for detection and classification of different faults. Furthermore, the results are verified using a low-scale test bench system in the laboratory.
Original languageEnglish
Article numbere2235
Number of pages23
JournalInternational Journal of Electrical Power and Energy Systems
Volume27
Issue number1
DOIs
Publication statusPublished - Jul 2016
Externally publishedYes

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