Electric Vehicles Charging Management with Monte Carlo Simulation

Autor: Ramin Malek, Ramazan Bayindir, Asker Sebati, Ensar Kilic, Murat Akil
Rok vydání: 2021
Předmět:
Zdroj: 2021 10th International Conference on Renewable Energy Research and Application (ICRERA).
DOI: 10.1109/icrera52334.2021.9598807
Popis: The effects of climate change are being felt more and more day by day. Reducing emissions from fossil fuels is among the priority measures to deal with the climate crisis. With the increase in the sales of zero-emission Electric Vehicles (EV), the number of charging stations for the charging needs of EV will also increase. In order to meet the EV charging need, grid must be operated in a stable, efficient and uninterrupted manner. In this paper, the charging power required for EVs at home and in public areas was modeled with Monte Carlo Simulation (MCS) over real data, peak load and total load values were calculated. The results showed that the charging need can be met with lower peak load values in public areas instead of charging at home traditionally.
Databáze: OpenAIRE