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- W4226488657 abstract "In recent decade, the vehicle to grid (V2G) technology makes the electric vehicles (EVs) become the potential energy storage capacity for alleviating the random fluctuation of the renewable energy power. The EV aggregator is the promising solution to aggregate enough capacity for the V2G. In this paper, a preliminary study of the multi-objective optimal dispatch of smart grid by estimating available capacity of EV aggregators is proposed. The behavior of EVs is described by a statistical model to estimate the maximum available capacity of EVs. Then, the multi-objectives and constrains are defined for the multi-objective optimal dispatch. The multi-objective genetic particle swarm optimizer is used to solve the high dimensional multi-objective optimization problem to obtain the Pareto front. The multi-objective optimization results show that the charging period of EVs is shifted to avoid load peak for the solved optimal dispatch." @default.
- W4226488657 created "2022-05-05" @default.
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- W4226488657 date "2021-12-23" @default.
- W4226488657 modified "2023-09-24" @default.
- W4226488657 title "Multi-Objective Optimal Dispatch of Smart Grid by Estimating Available Capacity of EV Aggregators" @default.
- W4226488657 doi "https://doi.org/10.1109/ispec53008.2021.9735894" @default.
- W4226488657 hasPublicationYear "2021" @default.
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