Open AccessMulti-scale morphological gradient algorithm based ultra-high-speed directional transmission line protection for internal and external fault discrimination
Author(s) -
Elmahdi Khoudry,
Abdelaziz Belfqih,
Tayeb Ouaderhman,
Jamal Boukherouaa,
Faissal Elmariami
Publication year - 2019
Publication title -
international journal of power electronics and drive systems/international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
eISSN - 2722-2578
pISSN - 2722-256X
DOI - 10.11591/ijece.v9i5.pp3891-3904
Subject(s) - transient (computer programming) , fault (geology) , position (finance) , algorithm , polarity (international relations) , computer science , line (geometry) , voltage , transmission line , scale (ratio) , transmission (telecommunications) , morphological gradient , mathematics , telecommunications , physics , electrical engineering , artificial intelligence , engineering , geometry , geology , chemistry , image (mathematics) , cell , image processing , operating system , biochemistry , quantum mechanics , binary image , finance , seismology , economics
This paper introduces an ultra-high-speed directional transmission line protection scheme based on multi-scale morphological gradient algorithm (MSMGA). The directional protection scheme sets down the rules for determining the fault position in relation to the relaying point. The MSMGA is used to extract the fault-induced transient characteristics contained in the voltage and current signals. The associated signals are formed from these transient characteristics and the polarity of their local modulus maxima allow the discrimination between internal and external faults.