Analysis of distribution system reconfiguration under different load demand in al-Kut city by using PSO algorithm
Network reconfiguration is the best way to inquisitive a flexible, reliable and effective distribution network. An efficient optimization technique that uses Particle Swarm Optimization (PSO) is described and analyzed with the goal of reducing power losses and enhancing the voltage profile in the di...
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Veröffentlicht in: | Engineering and Technology Journal 2021-05, Vol.39 (5A), p.738-753 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Network reconfiguration is the best way to inquisitive a flexible, reliable and effective distribution network. An efficient optimization technique that uses Particle Swarm Optimization (PSO) is described and analyzed with the goal of reducing power losses and enhancing the voltage profile in the distribution network by reconfiguring the network, taking into account the branch current limit, branch capacity limit, bus voltage limits and radial structure constraint (no meshed loop). The approach is applied to the part of AL-KUT city distribution system (TAMOZE region system) to attain an optimum network configuration in connection with power loss. Two dissimilar load situations are regarded, and the performance of the suggested approach is also proved by increasing the decrease in power loss by using MATLAB under steady-state Network reconfiguration is the best way to inquisitive a flexible, reliable and effective distribution network. An efficient optimization technique that uses Particle Swarm Optimization (PSO) is described and analyzed with the goal of reducing power losses and enhancing the voltage profile in the distribution network by reconfiguring the network, taking into account the branch current limit, branch capacity limit, bus voltage limits and radial structure constraint (no meshed loop). The approach is applied to the part of AL-KUT city distribution system (TAMOZE region system) to attain an optimum network configuration in connection with power loss. Two dissimilar load situations are regarded, and the performance of the suggested approach is also proved by increasing the decrease in power loss by using MATLAB under steady-state conditions |
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ISSN: | 1681-6900 2412-0758 2412-0758 |
DOI: | 10.30684/etj.v39i5A.1842 |