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• W4380051824 abstract "This paper describes a computational procedure to establish the optimal distribution of network reconfiguration by means of a novel gray wolf optimization (GWO) algorithm. The procedure aimed to diminish the system’s power loss and produce a better voltage profile while fulfilling the operating constraints described by different operating conditions. Under practical restrictions, the distribution network reconfiguration (DNR) problem is classified as multimodal and highly nonlinear. Constraint breaches were appropriately handled to produce stable convergence characteristics, and high-quality solutions were obtained in a shorter execution time. The 33-bus and 69-bus systems were used to obtain the optimal reconfiguration by incorporating the method developed in this work. The simulation results obtained were collated and compared with the outcomes of other well-known optimization techniques, confirming the efficacy of the GWO algorithm in solving the DNR problem." @default.
• W4380051824 created "2023-06-10" @default.
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• W4380051824 date "2023-06-07" @default.
• W4380051824 modified "2023-10-16" @default.
• W4380051824 title "Investigation and Minimization of Power Loss in Radial Distribution Network Using Gray Wolf Optimization" @default.
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• W4380051824 doi "https://doi.org/10.3390/en16124571" @default.
• W4380051824 hasPublicationYear "2023" @default.
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