High impedance fault detection and identification based on pattern recognition of phase displacement computation

Ali, Mohd Syukri and Bakar, Ab Halim Abu and Tan, Chia Kwang and Arof, Hamzah and Mokhlis, Hazlie (2018) High impedance fault detection and identification based on pattern recognition of phase displacement computation. IEEJ Transactions on Electrical and Electronic Engineering, 13 (4). pp. 549-560. ISSN 1931-4973

Full text not available from this repository.
Official URL: https://doi.org/10.1002/tee.22600

Abstract

This paper proposes a new algorithm for high-impedance-fault (HIF) detection based on phase displacement computation (PDC). The PDC is calculated between the measured and reference three-phase voltage signals. There are two stages in this algorithm. In the first stage, the pattern of the PDC is analyzed to detect the occurrence of an event. In the second stage, the peak of the PDC is used as a feature to distinguish between HIF and non-HIF events. Subsequently, an automatic HIF classification algorithm based on predefined indices is proposed to perform event identification and HIF detection. Different types of HIF events and non-HIF events, such as load switching, motor starting, and capacitor switching, have been simulated in PSCAD/EMTDC. The proposed algorithm is able to classify the events accurately for both single and multiple events occurrence.

Item Type: Article
Uncontrolled Keywords: distribution system; high impedance fault; phase displacement computation
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Deputy Vice Chancellor (Research & Innovation) Office > UM Power Energy Dedicated Advanced Centre
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 25 Sep 2019 07:18
Last Modified: 25 Sep 2019 07:18
URI: http://eprints.um.edu.my/id/eprint/22556

Actions (login required)

View Item View Item