Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6500
Title: Scenario generation for electric vehicles' uncertain behavior in a smart city environment
Authors: Soares,J
Borges,N
Ghazvini,MAF
Vale,Z
Paulo Moura Oliveira
Issue Date: 2016
Abstract: This paper presents a framework and methods to estimate electric vehicles' possible states, regarding their demand, location and grid connection periods. The proposed methods use the Monte Carlo simulation to estimate the probability of occurrence for each state and a fuzzy logic probabilistic approach to characterize the uncertainty of electric vehicles' demand. Day-ahead and hour-ahead methodologies are proposed to support the smart grids' operational decisions. A numerical example is presented using an electric vehicles fleet in a smart city environment to obtain each electric vehicle possible states regarding their grid location.
URI: http://repositorio.inesctec.pt/handle/123456789/6500
http://dx.doi.org/10.1016/j.energy.2016.06.011
metadata.dc.type: article
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