Determining stochastic storage capacity of EV parking lots using Monte-Carlo simulation Elektrikli Araç Otopark Depolama Kapasitesinin Monte-Carlo Benzetimi ile Belirlenmesi


Guner S., Özdemir A.

Electric Electronics, Computer Science, Biomedical Engineerings Meeting, EBBT 2016, İstanbul, Turkey, 26 - 27 April 2016 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/ebbt.2016.7483691
  • City: İstanbul
  • Country: Turkey
  • Istanbul Technical University Affiliated: Yes

Abstract

The power grids have been evolved all over the world. As the power grids become more smarter, distributed energy resources (DER) and Electric vehicles (EVs) provide a new storage facility. EVs charging at off-peak duration increase the integration of renewable energy sources. Parking lots (PLs) provide to aggregate single EVs. This is that parking lots give an chance small battery capacity of EVs to turn being an effective storage unit. In this study, a probabilistic storage capacity model of an EV PL is developed by sequential Monte Carlo simulations. Car arrival/departure times are simulated using real-time data set provided by The Chief Management of Istanbul Car Parking Corporation (ISPARK). The results of this model provide available storage capacity of PLs for each hour in daytime to the utilities.