Hasdemir, Berke CanAçıkgöz, DilberPoyrazoğlu, Göktürk2021-03-162021-03-162020-10-20978-172816264-5http://hdl.handle.net/10679/7389https://doi.org/10.1109/GPECOM49333.2020.9247904In line with the increasing number of electric vehicles, a stochastic approach that simulates the charging stations which is managed hybridlike system of a solar array is discussed in this study. A smart charging system algorithm is designed to control the charging status of electric vehicles arriving at a parking lot with a certain vehicle capacity based on the real data. Since charging electric vehicles can become an extra burden on the power grid, a smart charging algorithm is needed for stability and security. By solar energy, electric vehicles can be charged, and the surplus can be injected back to the grid. Otherwise, electricity can be provided from the grid. A stochastic-based simulation is developed to generate the necessary big-data based on realistic assumptions. The installation parameters of the solar energy, the number of vehicles in the parking lot, the hours of arrival, the duration of stay, and the charging status are simulated in various scenarios. This research aims to meet the demand for the increasing number of electric vehicles with the smart charging algorithm in the areas where have high solar energy potential.enginfo:eu-repo/semantics/restrictedAccessConference paper27928400085280580005010.1109/GPECOM49333.2020.9247904Electric vehiclesCharging stationsSolar energyStochasticSimulation2-s2.0-85097614981