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

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 probl...

Full description

Saved in:
Bibliographic Details
Main Authors: Ramli, Suzana P. I. L., Mokhlis, Hazlie, Wong, Wei Ru, Muhammad, Munir Azam, Mansor, Nurulafiqah Nadzirah, Hussain, Muhamad Hatta
Format: Article
Published: Tubitak Scientific & Research Council, Turkey 2021
Subjects:
Online Access:http://eprints.um.edu.my/28454/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.28454
record_format eprints
spelling my.um.eprints.284542022-08-10T04:57:17Z http://eprints.um.edu.my/28454/ 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. Mokhlis, Hazlie Wong, Wei Ru Muhammad, Munir Azam Mansor, Nurulafiqah Nadzirah Hussain, Muhamad Hatta QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) 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. Tubitak Scientific & Research Council, Turkey 2021 Article PeerReviewed 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 <https://doi.org/10.3906/elk-2008-23>. 10.3906/elk-2008-23
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
TA Engineering (General). Civil engineering (General)
spellingShingle QA75 Electronic computers. Computer science
TA Engineering (General). Civil engineering (General)
Ramli, Suzana P. I. L.
Mokhlis, Hazlie
Wong, Wei Ru
Muhammad, Munir Azam
Mansor, Nurulafiqah Nadzirah
Hussain, Muhamad Hatta
Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
description 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.
format Article
author Ramli, Suzana P. I. L.
Mokhlis, Hazlie
Wong, Wei Ru
Muhammad, Munir Azam
Mansor, Nurulafiqah Nadzirah
Hussain, Muhamad Hatta
author_facet Ramli, Suzana P. I. L.
Mokhlis, Hazlie
Wong, Wei Ru
Muhammad, Munir Azam
Mansor, Nurulafiqah Nadzirah
Hussain, Muhamad Hatta
author_sort Ramli, Suzana P. I. L.
title Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
title_short Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
title_full Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
title_fullStr Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
title_full_unstemmed Optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
title_sort optimal coordination of directional overcurrent relay based on combination of improved particle swarm optimization and linear programming considering multiple characteristics curve
publisher Tubitak Scientific & Research Council, Turkey
publishDate 2021
url http://eprints.um.edu.my/28454/
_version_ 1744649114449084416
score 13.18916