Optimal directional overcurrent relay coordination based on computational intelligence technique: a review

Pil Ramli, Suzana and Usama, Muhammad and Mokhlis, Hazlie and Wong, Wei Ru and Hussain, Muhamad Hatta and Muhammad, Munir Azam and Mansor, Nurulafiqah Nadzirah (2021) Optimal directional overcurrent relay coordination based on computational intelligence technique: a review. Turkish Journal of Electrical Engineering and Computer Sciences, 29 (3). pp. 1284-1307. ISSN 1300-0632, DOI https://doi.org/10.3906/elk-2012-98.

Full text not available from this repository.


An exponential increase in diverse load demand in the last decade has influenced the integration of more power plants into the power system. This increases the fault current due to the bidirectional flow of current, resulting in unwanted tripping of the relays if not properly coordinated. Therefore, it is imperative to ensure the installation of relays in the grid being able to sense the fault current from any direction (i.e. upstream or downstream). This can be accomplished by introducing an optimal directional overcurrent relay (DOCR) coordination scheme into the system. This paper presents an in-depth review of the applications of various optimization techniques for optimal coordination of directional overcurrent relays (DOCRs) in integrated power networks. The review highlights the advantages and limitations of techniques implemented to mitigate the DOCR coordination issues. Furthermore, potential research directions for optimal DOCR coordination are also discussed in this paper.

Item Type: Article
Funders: Universiti Malaya [ST014-2020], Universiti Malaya[ GPF080A-2018]
Uncontrolled Keywords: Directional overcurrent relay; Mathematical algorithm; Artificial neural network; Hybrid optimization; Protection system
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 21 Apr 2022 01:46
Last Modified: 21 Apr 2022 01:46
URI: http://eprints.um.edu.my/id/eprint/28854

Actions (login required)

View Item View Item