Scenario generation for electric vehicles%26apos; uncertain behavior in a smart city environment

作者：Soares Joao; Borges Nuno; Ghazvini Mohammad Ali Fotouhi; Vale Zita; de Moura Oliveira P B

来源：Energy, 2016, 111: 664-675.

DOI：10.1016/j.energy.2016.06.011

• Big data
• Electric vehicles
• Fuzzy logic
• Monte carlo simulation
• Smart city

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.

• 出版日期2016-9-15