Optimal Location Problems for Electric Vehicles Charging Stations: Models and Challenges

2018 ◽  
pp. 49-60
Author(s):  
A. Karakitsiou ◽  
A. Migdalas ◽  
P. M. Pardalos
Keyword(s):  
Electric Vehicles ◽  
Optimal Location ◽  
Location Problems ◽  
Charging Stations

Optimal Location for Electric Vehicles Charging Stations Based on P-Median Model

2020 ◽  
pp. 278-289
Author(s):  
Daxin Tian ◽  
Huiwen Yan ◽  
Xuting Duan ◽  
Yue Cao ◽  
Jianshan Zhou ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Optimal Location ◽  
Charging Stations

Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal

2011 ◽  
Vol 2252 (1) ◽  
pp. 91-98 ◽  
Author(s):  
Inês Frade ◽  
Anabela Ribeiro ◽  
Gonçalo Gonçalves ◽  
António Pais Antunes
Keyword(s):  
Electric Vehicles ◽  
Optimal Location ◽  
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.

Optimal location of EV charging stations in a neighborhood considering a multi-objective approach

2021 ◽  
Vol 199 ◽  
pp. 107391
Author(s):  
Leonardo Bitencourt ◽  
Tiago P. Abud ◽  
Bruno H. Dias ◽  
Bruno S.M.C. Borba ◽  
Renan S. Maciel ◽  
...  
Keyword(s):  
Optimal Location ◽  
Multi Objective ◽  
Charging Stations ◽  
Ev Charging

scholarly journals Energy Management System Optimization of Drug Store Electric Vehicles Charging Station Operation

2021 ◽  
Vol 13 (11) ◽  
pp. 6163
Author(s):  
Yongyi Huang ◽  
Atsushi Yona ◽  
Hiroshi Takahashi ◽  
Ashraf Mohamed Hemeida ◽  
Paras Mandal ◽  
...  
Keyword(s):  
Power Generation ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
System Optimization ◽  
Mixed Integer ◽  
Charging Station ◽  
Electric Vehicle Charging ◽  
Photovoltaic Power ◽  
Vehicle Charging ◽  
Charging Stations

Electric vehicle charging station have become an urgent need in many communities around the world, due to the increase of using electric vehicles over conventional vehicles. In addition, establishment of charging stations, and the grid impact of household photovoltaic power generation would reduce the feed-in tariff. These two factors are considered to propose setting up charging stations at convenience stores, which would enable the electric energy to be shared between locations. Charging stations could collect excess photovoltaic energy from homes and market it to electric vehicles. This article examines vehicle travel time, basic household energy demand, and the electricity consumption status of Okinawa city as a whole to model the operation of an electric vehicle charging station for a year. The entire program is optimized using MATLAB mixed integer linear programming (MILP) toolbox. The findings demonstrate that a profit could be achieved under the principle of ensuring the charging station’s stable service. Household photovoltaic power generation and electric vehicles are highly dependent on energy sharing between regions. The convenience store charging station service strategy suggested gives a solution to the future issues.

Sign in / Sign up

Export Citation Format

Share Document