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January 1, 2026International Journal of Complexity in Applied Science and TechnologyOpen Access

Genetic algorithm-based optimal placement of reclosers in Chiro power distribution

Melat Getachew Kebede Umer Abdo Geru

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Key Points

This research aims to enhance the efficiency of power distribution systems by determining the optimal placement of reclosers using genetic algorithms.
Utilized genetic algorithms to optimize the location of reclosers in power distribution networks.
Analyzed various configurations to assess the impact on system performance and reliability.
Achieved significant improvements in system reliability with optimal recloser placement.
Detailed numerical results show enhanced efficiency; specific metrics and rates were observed for placement configurations.

Implication

Assesses optimal recloser placement using genetic algorithms in power distribution, suggesting improvements in reliability.

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Cite This Study

Kebede et al. (2026) studied this question.

synapsesocial.com/papers/69fd7ef7bfa21ec5bbf074ec https://doi.org/10.1504/ijcast.2026.10078180

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