Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm

Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliability. A hybrid particle-firefly optimization method is applied in the first phase to allocate reclosers and sectionalizer in an optimal accessible path. Furthermore, in the second phase, the Medium distribution voltage Systems that comprises five main circuit breaker and one power source are taken into consideration, as well as automatic load shift to an alternative power supply and the secondary circuit breaker shut down under normal conditions. The authors provide a streamlined technique based on swapping out loads discrete to determine the reduction value of the anticipated energy not-supplied (ENS) and cost of energy not-supplied (CENS) to customers after installing sectionalizer and recloser in APO radial substation network. The optimized CENS with protective device of the distribution system is tremendously reduce compared to the CENS of the conventional state which has no protective scheme.

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Publication Details

Journal
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Published
2025-09-01
DOI
https://doi.org/10.11591/ijpeds.v16.i3.pp1840-1851
Primary Topic
Power System Reliability and Maintenance
Type
article
Field-Weighted Citation Impact
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article

Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm

Evans Chinemezu Ashigwuike, Jacob Kehinde Ogunjuyigbe, Timothy Oluwaseun Araoye, S. P. Syed Ibrahim et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
Power System Reliability and Maintenance
article

Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm

Evans Chinemezu Ashigwuike, Jacob Kehinde Ogunjuyigbe, Timothy Oluwaseun Araoye, S. P. Syed Ibrahim, Ikenna Chuddy Mbamalu, Oluyinka Olugbenga Aina, Onyekachukwu Denis Ozulu, Issac Ojochogwu Onuh
article en

Abstract

Electricity outages are frequently caused due to problems in the electric distribution system (EDS). The method presented in this research describes a comprehensive dual-phased designed to enhance the electric network efficiency and reliability. A hybrid particle-firefly optimization method is applied in the first phase to allocate reclosers and sectionalizer in an optimal accessible path. Furthermore, in the second phase, the Medium distribution voltage Systems that comprises five main circuit breaker and one power source are taken into consideration, as well as automatic load shift to an alternative power supply and the secondary circuit breaker shut down under normal conditions. The authors provide a streamlined technique based on swapping out loads discrete to determine the reduction value of the anticipated energy not-supplied (ENS) and cost of energy not-supplied (CENS) to customers after installing sectionalizer and recloser in APO radial substation network. The optimized CENS with protective device of the distribution system is tremendously reduce compared to the CENS of the conventional state which has no protective scheme.

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer EngineeringVol. 16(3)
University of Nigeria (NG), Federal Aviation Administration (US), Caritas University (NG), Ministry of Environment (NG), Institute of Automation (DE), University of Abuja (NG)
Openalex Percentile: Top 72%
Power System Reliability and Maintenance
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Optimal placement of recloser for the improvement of reliability indices in radial distribution system using hybrid PSO-firefly algorithm — Evans Chinemezu Ashigwuike, Jacob Kehinde Ogunjuyigbe, et al. · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2025) | TGRS Research Map | TGRS