Probabilistic Modeling of Plug-in Electric Vehicles Charging from Fast Charging Stations

2019 ◽  
Author(s):  
Sami M. Alshareef ◽  
Walid G. Morsi
Keyword(s):  
Electric Vehicles ◽  
Probabilistic Modeling ◽  
Fast Charging ◽  
Charging Stations

Machine learning roles in advancing the power network stability due to deployments of renewable energies and electric vehicles

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Mohamad Nassereddine
Keyword(s):  
Machine Learning ◽  
Renewable Energy ◽  
Electric Vehicles ◽  
Renewable Energy Sources ◽  
Energy Sources ◽  
Power Network ◽  
Network Stability ◽  
Fast Charging ◽  
Electrical Loads ◽  
Charging Stations

AbstractRenewable energy sources are widely installed across countries. In recent years, the capacity of the installed renewable network supports large percentage of the required electrical loads. The relying on renewable energy sources to support the required electrical loads could have a catastrophic impact on the network stability under sudden change in weather conditions. Also, the recent deployment of fast charging stations for electric vehicles adds additional load burden on the electrical work. The fast charging stations require large amount of power for short period. This major increase in power load with the presence of renewable energy generation, increases the risk of power failure/outage due to overload scenarios. To mitigate the issue, the paper introduces the machine learning roles to ensure network stability and reliability always maintained. The paper contains valuable information on the data collection devises within the power network, how these data can be used to ensure system stability. The paper introduces the architect for the machine learning algorithm to monitor and manage the installed renewable energy sources and fast charging stations for optimum power grid network stability. Case study is included.

SURVEY OF HARMONIC AND SUPRAHARMONIC EMISSION OF FAST CHARGING STATIONS FOR ELECTRIC VEHICLES IN CHINA AND GERMANY

2021 ◽  
Author(s):  
F. Chen ◽  
Q. Zhong ◽  
H. Zhang ◽  
M. Zhu ◽  
S. Müller ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Fast Charging ◽  
Charging Stations

scholarly journals Perceived Usage Potential of Fast-Charging Locations

2018 ◽  
Vol 9 (1) ◽  
pp. 14 ◽  
Author(s):  
Julia Krause ◽  
Stefan Ladwig ◽  
Lotte Saupp ◽  
Denis Horn ◽  
Alexander Schmidt ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Point Of View ◽  
Charging Infrastructure ◽  
Charging Time ◽  
Points Of Interest ◽  
Fast Charging ◽  
Business Perspective ◽  
Charging Stations ◽  
User Perspectives ◽  
Model Point

Fast-charging infrastructure with charging time of 20–30 min can help minimizing current perceived limitations of electric vehicles, especially considering the unbalanced and incomprehensive distribution of charging options combined with a long perceived charging time. Positioned on optimal location from user and business perspective, the technology is assumed to help increasing the usage of an electric vehicle (EV). Considering the user perspectives, current and potential EV users were interviewed in two different surveys about optimal fast-charging locations depending on travel purposes and relevant location criteria. The obtained results show that customers prefer to rather charge at origins and destinations than during the trip. For longer distances, charging locations on axes with attractive points of interest are also considered as optimal. From the business model point of view, fast-charging stations at destinations are controversial. The expensive infrastructure and the therefore needed large number of charging sessions are in conflict with the comparatively time consuming stay.

Aggregated electric vehicles load profiles with fast charging stations

2014 ◽  
Author(s):  
G. Celli ◽  
G. G. Soma ◽  
F. Pilo ◽  
F. Lacu ◽  
S. Mocci ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Fast Charging ◽  
Charging Stations

scholarly journals Latvian Electric Vehicle Fast Charging Infrastructure: Results of the First Year of Operation

2019 ◽  
Vol 23 (2) ◽  
pp. 9-21
Author(s):  
Aivars Rubenis ◽  
Aigars Laizans ◽  
Andra Zvirbule
Keyword(s):  
Electric Vehicles ◽  
Capacity Utilization ◽  
Skewed Distribution ◽  
First Year ◽  
Charging Infrastructure ◽  
Large Dispersion ◽  
Fast Charging ◽  
Total Capacity ◽  
Charging Stations ◽  
Initial Results

Abstract This article presents preliminary analysis of the Latvian national EV fast - charging network after the first year of operation. The first phase of Latvian national EV fast-charging network was launched in 2018 with 70 charging stations on the TEN-T roads and in the largest towns and cities. The article looks at the initial results, both looking at the total capacity utilization for individual charging stations, determining the hourly charging distribution; and to the utilization of the network as a whole. The results present that there is a very large dispersion of the data, most of the charging events happening in a few charging stations in and around the capital of Latvia. However, there have been charging events in all charging stations, even in the most remote ones. Even more skewed distribution was observed analyzing the charging habits of the EV users, with 10 % of users accounting for more than half of the charging events. This should be taken into account when considering applying the results for the future, expecting larger number of electric vehicles in Latvia.

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