Published June 12, 2016
| Version v1
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Scenario generation for electric vehicles' uncertain behavior in a smart city environment
- 1. Polytechnic of Porto
- 2. INEST TEC UTAD
Description
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.
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energy_stochasticEVs-Zenodo.pdf
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Additional details
Funding
- UID/EEA/00760/2013 – Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development 147448
- Fundação para a Ciência e Tecnologia
- SFRH/BD/94688/2013 – SMART POWER SYSTEM OPERATION UNDER UNCERTAINTY IN SHORT-TERM ELECTRICITY MARKETS SFRH/BD/94688/2013
- Fundação para a Ciência e Tecnologia