Operation Analysis of Fast Charging Stations With Energy Demand Control of Electric Vehicles

2015 ◽  
Vol 6 (4) ◽  
pp. 1819-1826 ◽  
Author(s):  
Pingyi Fan ◽  
Bilguun Sainbayar ◽  
Shaolei Ren
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Operation Analysis ◽  
Fast Charging ◽  
Charging Stations ◽  
Demand Control

scholarly journals Energy analysis of charging infrastructure for electric vehicles on the TEN-T road network

2019 ◽  
Vol 100 ◽  
pp. 00018
Author(s):  
Maciej Gis ◽  
Mateusz Bednarski ◽  
Piotr Orliński
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Road Network ◽  
Point Of View ◽  
Charging Infrastructure ◽  
Charging Station ◽  
Energy Needs ◽  
Fast Charging ◽  
Vehicle Charging ◽  
Charging Stations

Electromobility is a European vision of future motorization. In Poland, there are plans to introduce a million vehicles of this type by 2030. Currently, their share is marginal (about 1 percent). This vision is to be made real. This is due to the fact that vehicle manufacturers are developing newer EV vehicle constructions. Increasing the number of electric vehicles requires the development of their charging infrastructure. Based on the work of the authors regarding the EV vehicle charging network on the Trans-European Transport Network road network, it was possible to extend this issue with energy calculations related to energy demand for supplying the EV vehicle charging network. This is an important topic from the point of view of the State’s energy needs. The calculations made in the article present the problem of the need to increase the production of electricity, which in the case of Poland is associated with increased emissions of harmful substances and the possibility of periodic interruptions in the supply of electricity. Due to excessive domestic consumption with too little production. The second issue is the need to supply electricity to the charging station (infrastructure), as well as transmission losses, which limit the possibility of building multi-station fast charging stations. The issue presented by the authors in this article is one of the key problems relating to the introduction of electromobility in Poland. The key is to determine how large the demand for electricity in the country will be if a greater number of electric vehicles is put into operation. Considering that there are power shortages during a hot summer, this may affect the possibility of using electric vehicles in the country.

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.

scholarly journals Development of an Efficient Tool for Solar Charging Station Management for Electric Vehicles

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2979
Author(s):  
Simon Steinschaden ◽  
José Baptista
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Wide Spectrum ◽  
Clean Energy ◽  
Primary Energy ◽  
Transport Sector ◽  
Battery Storage ◽  
Charging Station ◽  
Input Parameters ◽  
Charging Stations

One important goal of the climate commitment in the European Union (EU) is to reduce primary energy demand in the transport sector and increase the use of renewables, since around 33% of primary energy is consumed in this sector. Therefore, the EU ordered its member states to raise the number of electric vehicles (EVs) within Europe. Consequently, the energy demand for electricity will rise as a function of the number of EVs. To avoid local grid overload and guarantee a higher percentage of clean energy, EV charging stations can be supported by a combined system of grid-connected photovoltaic modules and battery storage. In this paper, the focus lies on the feasibility and economic aspects of such systems. To provide an overview of the different e-charging station combinations, a support tool was modelled and developed, making it possible to size and manage EVs charging stations with only a few input parameters. Thanks to its easy handling, the tool suits a wide spectrum of users. Due to enhanced optional settings, this tool is suitable for detailed input parameters for professionals as well. Input categories are basically divided into the photovoltaic (PV) system, battery storage, the charging station itself, and investment analysis. The tool supports decisions for solar charging stations designed for different parking locations like offices, schools, and public and private places.

Sign in / Sign up

Export Citation Format

Share Document