Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve

Ramli, Suzana P. I. L. and Mokhlis, Hazlie and Wong, Wei Ru and Muhammad, Munir Azam and Mansor, Nurulafiqah Nadzirah and Hussain, Muhamad Hatta (2021) Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve. Turkish Journal of Electrical Engineering and Computer Sciences, 29 (3). pp. 1765-1780. ISSN 1300-0632, DOI https://doi.org/10.3906/elk-2008-23.

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Abstract

Optimal coordination of directional over-current relays (DOCRs) is a crucial task in ensuring the security and reliability of power system network. In this paper, a hybridization of an improved particle swarm optimization and linear programming (IPSO-LP) is proposed to solve DOCRs coordination problem. The considered decision variables in the optimization are plug setting current, time multiplier setting, type of relay, and type of curve. By considering these parameters in the optimization, the best relay operating time can be determined. Furthermore, the proposed technique also considered the continuous values of pick-up current setting (PSC) and time setting multiplier (TMS). Test on the IEEE 8 bus system has proven the effectiveness of the technique, where an improvement between 2.36% and 45.8% of total relay operating time can be observed as compared to other techniques in literature. In addition, the obtained settings of the DOCRs from the proposed technique have been verified using industrial software to make sure no setting that cause violation to the DOCRs operation.

Item Type: Article
Funders: Universiti Malaya, Malaysian government (GPF080A-2018), Malaysian government (GPF016A-2019)
Uncontrolled Keywords: Directional over-current relay; Hybrid optimization; Protection system; Improved particle swarm optimization; Linear programming
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Electrical Engineering
Depositing User: Ms Zaharah Ramly
Date Deposited: 10 Aug 2022 04:57
Last Modified: 10 Aug 2022 04:57
URI: http://eprints.um.edu.my/id/eprint/28454

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