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...
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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 |
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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 |
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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. |
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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/ |
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1744649114449084416 |
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13.18916 |