Electric Vehicle Charging Station Load Analyzing Based on Monte-Carlo Method
2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe): Proceedings 2018
Maksims Vorobjovs, Kristīna Bērziņa, Anastasija Žiravecka

Taking into account the technological leap and the increased demand and production of electric vehicles, a study on the use of free power for charging of electric vehicles of the Riga Technical University, at the Faculty of Power and Electrical Engineering was conducted within the presented document. Also, a computer model of load demand for one charging unit was created to analyze quality of network parameters. This study uses statistics of load demand of charging unit for probabilistic forecasting of the load on a substation of 400 kVA and 630 kVA and determining the most optimal conditions of charging units for a particular station, using algorithm based on the Monte Carlo method. The algorithm described in detail is described in detail. Simulation was conducted on the basis of which it was concluded that if the charging station is located in a university campus or office center. It is necessary to organize switching on and off of charging points.


Atslēgas vārdi
Electric vehicle , Charging station , load analyzing , Monte-Carlo method , Load Forecasting
Hipersaite
https://ieeexplore.ieee.org/document/8515454

Vorobjovs, M., Bērziņa, K., Žiravecka, A. Electric Vehicle Charging Station Load Analyzing Based on Monte-Carlo Method. No: 2018 20th European Conference on Power Electronics and Applications (EPE'18 ECCE Europe): Proceedings, Latvija, Riga, 17.-21. septembris, 2018. Piscataway: IEEE, 2018, 1.-10.lpp. ISBN 978-1-5386-4145-3. e-ISBN 978-9-0758-1528-3.

Publikācijas valoda
English (en)
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