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• W4281639377 endingPage "111443" @default.
• W4281639377 startingPage "111443" @default.
• W4281639377 abstract "The bidirectional flow of electrical power has mandated the monitoring of the distribution system (DS) in real-time using synchronized data to overcome problems linked to grid stability, that can cause cascade failure. This synchronized data is gathered by micro-phasor measurement units (µPMUs) and is beneficial in determining the operational health of the DS. In the present article, a multi-objective optimal µPMU placement problem (µPPP) for DS is addressed for two conflicting objectives viz., minimization of µPMU installation cost and maximization of measurement redundancy using non-dominated sorting genetic algorithm-II (NSGA-II) and multi criteria technique called PROMETHEE-II under practical DS scenarios. The proposed solution methodology is compared with well-established Multiobjective techniques and validated on Indian 85-bus and standard IEEE distribution systems, to establish its superiority in locating Pareto optimal solutions (single/multiple solutions). Finally, cost analysis is done which indicates substantial cost saving when µPMUs with variable cost are considered." @default.
• W4281639377 created "2022-06-13" @default.
• W4281639377 creator A5014511851 @default.
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• W4281639377 date "2022-07-01" @default.
• W4281639377 modified "2023-10-01" @default.
• W4281639377 title "Multi-objective micro phasor measurement unit placement and performance analysis in distribution system using NSGA-II and PROMETHEE-II" @default.
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• W4281639377 doi "https://doi.org/10.1016/j.measurement.2022.111443" @default.
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