Open AccessFast transient‐based detection of busbar faults employing improved morphological gradient
Author(s) -
Lashgari Mahmoud,
Mohammad Shahrtash Seyed
Publication year - 2020
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2019.0119
Subject(s) - busbar , dependability , transient (computer programming) , current transformer , electronic engineering , computer science , electric power system , fault (geology) , detector , morphological gradient , engineering , transformer , electrical engineering , power (physics) , reliability engineering , artificial intelligence , image processing , voltage , image (mathematics) , binary image , operating system , physics , quantum mechanics , seismology , geology
In this study, a new method for ultra‐fast speed busbar protection is presented. The method is based on processing the incoming/outgoing current signals of lines or transformers connected to a substation busbar by the improved morphological gradient. The proposed algorithm is simple and requires neither fault detector nor fault classifier and it is immune to fault type, fault inception angle, fault resistance, and noise with SNRs down to 5 dB. It is applicable to different substation configurations or bus systems. According to the simulation results, the proposed algorithm has high security and dependability in discrimination of external and internal faults with the ultra‐fast operation. Moreover, in the case of the existing two busbars in a substation layout, the proposed indices can discriminate between the faults of the two bus zones.