A stochastic simulation for a hybrid system of solar panels and EV chargers

Name: A stochastic simulation for a hybrid system of solar panels and EV chargers
Author: Hasdemir, Berke Can, Açıkgöz, Dilber, Poyrazoğlu, Göktürk

İsim	A stochastic simulation for a hybrid system of solar panels and EV chargers
Yazar	Hasdemir, Berke Can, Açıkgöz, Dilber, Poyrazoğlu, Göktürk
Basım Tarihi:	2020-10-20
Basım Yeri	- IEEE
Konu	Electric vehicles, Charging stations, Solar energy, Stochastic, Simulation
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	978-172816264-5
Kayıt Numarası	305cf740-fb0e-4233-be43-07112a8ad864
Lokasyon	Electrical & Electronics Engineering
Tarih	2020-10-20
Örnek Metin	In 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.
DOI	10.1109/GPECOM49333.2020.9247904

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A stochastic simulation for a hybrid system of solar panels and EV chargers

Yazar Hasdemir, Berke Can, Açıkgöz, Dilber, Poyrazoğlu, Göktürk

Basım Tarihi 2020-10-20

Basım Yeri - IEEE

Konu Electric vehicles, Charging stations, Solar energy, Stochastic, Simulation

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 978-172816264-5

Kayıt Numarası 305cf740-fb0e-4233-be43-07112a8ad864

Lokasyon Electrical & Electronics Engineering

Tarih 2020-10-20

Örnek Metin In 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.

DOI 10.1109/GPECOM49333.2020.9247904