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• W4367358749 abstract "For the reconfiguration of a distribution network, a multiobjective generalized particle swarm optimization (MOGEPSO) approach is presented in this research article. The algorithm reduces both the amount of electricity wasted and the amount of money spent on network construction. It also has the additional benefit of lowering active power loss. Three objective functions are minimized simultaneously in Pareto optimal fashion. Voltage profile, distribution generator (DG) capacity limit and bus load constraints are matched during the optimization. The MOGEPSO is first time introduced in this work to the best of the author’s knowledge. This article reconfigures the tie switches positions, too, along with DG capacity. The potential buses are identified with the active-reactive power-based sensitivity analysis, and DGs are placed over these buses only. The MOGEPSO results provided better tools for effective network reconfiguration. The high performance and fast convergence outcomes of network reconfiguration are achieved through the proposed MOGEPSO algorithm." @default.
• W4367358749 created "2023-04-30" @default.
• W4367358749 creator A5005719752 @default.
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• W4367358749 date "2023-01-01" @default.
• W4367358749 modified "2023-10-01" @default.
• W4367358749 title "A Novel Method to Power Losses Reduction in Radial Distribution System: A Multiobjective Generalized Particle Swarm Optimization (MOGEPSO)" @default.
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• W4367358749 doi "https://doi.org/10.1007/978-981-19-7993-4_40" @default.
• W4367358749 hasPublicationYear "2023" @default.
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