scholarly journals Forecasting Recharging Demand to Integrate Electric Vehicle Fleets in Smart Grids

2019 ◽  
Author(s):  
Juan Ignacio Guerrero Alonso ◽  
Enrique Personal ◽  
Antonio Parejo ◽  
Sebastián García ◽  
Antonio García ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Smart Grids

Real-Time Coordination of Plug-In Electric Vehicle Charging in Smart Grids to Minimize Power Losses and Improve Voltage Profile

2011 ◽  
Vol 2 (3) ◽  
pp. 456-467 ◽  
Author(s):  
Sara Deilami ◽  
Amir S. Masoum ◽  
Paul S. Moses ◽  
Mohammad A. S. Masoum
Keyword(s):  
Real Time ◽  
Electric Vehicle ◽  
Smart Grids ◽  
Voltage Profile ◽  
Power Losses ◽  
Electric Vehicle Charging ◽  
Vehicle Charging

Application research of an electric vehicle DC fast charger in smart grids

2012 ◽  
Author(s):  
Zuzhi Zhang ◽  
Haiping Xu ◽  
Lei Shi ◽  
Dongxu Li ◽  
Yuchen Han
Keyword(s):  
Electric Vehicle ◽  
Smart Grids ◽  
Application Research

scholarly journals DC Nanogrids for Integration of Demand Response and Electric Vehicle Charging Infrastructures: Appraisal, Optimal Scheduling and Analysis

Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2484
Author(s):  
Salwan Ali Habeeb ◽  
Marcos Tostado-Véliz ◽  
Hany M. Hasanien ◽  
Rania A. Turky ◽  
Wisam Kaream Meteab ◽  
...  
Keyword(s):  
Energy Storage ◽  
Electric Vehicle ◽  
Demand Response ◽  
Smart Grids ◽  
Optimal Scheduling ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Battery Energy ◽  
Storage Demand ◽  
Demand Response Programs

With the development of electronic infrastructures and communication technologies and protocols, electric grids have evolved towards the concept of Smart Grids, which enable the communication of the different agents involved in their operation, thus notably increasing their efficiency. In this context, microgrids and nanogrids have emerged as invaluable frameworks for optimal integration of renewable sources, electric mobility, energy storage facilities and demand response programs. This paper discusses a DC isolated nanogrid layout for the integration of renewable generators, battery energy storage, demand response activities and electric vehicle charging infrastructures. Moreover, a stochastic optimal scheduling tool is developed for the studied nanogrid, suitable for operators integrated into local service entities along with the energy retailer. A stochastic model is developed for fast charging stations in particular. A case study serves to validate the developed tool and analyze the economical and operational implications of demand response programs and charging infrastructures. Results evidence the importance of demand response initiatives in the economic profit of the retailer.

A Two Stage Model for Optimum Allocation of Electric Vehicle Parking Lots in Smart Grids

2018 ◽  
Author(s):  
M. Moradijoz ◽  
F. Moazzen ◽  
S. Allahmoradi ◽  
M. Parsa Moghaddam ◽  
M.R Haghifam
Keyword(s):  
Electric Vehicle ◽  
Smart Grids ◽  
Optimum Allocation ◽  
Stage Model ◽  
Two Stage ◽  
Parking Lots

scholarly journals Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations

2019 ◽  
Vol 10 (2) ◽  
pp. 2127-2136 ◽  
Author(s):  
Ye Shi ◽  
Hoang Duong Tuan ◽  
Andrey V. Savkin ◽  
Trung Q. Duong ◽  
H. Vincent Poor
Keyword(s):  
Model Predictive Control ◽  
Electric Vehicle ◽  
Predictive Control ◽  
Smart Grids ◽  
Electric Vehicle Charging ◽  
Vehicle Charging ◽  
Charging Stations

scholarly journals A Secure Charging System for Electric Vehicles Based on Blockchain

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3028 ◽  
Author(s):  
MyeongHyun Kim ◽  
KiSung Park ◽  
SungJin Yu ◽  
JoonYoung Lee ◽  
YoungHo Park ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
Smart Grids ◽  
Denial Of Service ◽  
Mutual Authentication ◽  
Internet Security ◽  
Charging System ◽  
Electric Vehicle Charging ◽  
Perfect Forward Secrecy ◽  
Vehicle Charging

Smart grids incorporating internet-of-things are emerging solutions to provide a reliable, sustainable and efficient electricity supply, and electric vehicle drivers can access efficient charging services in the smart grid. However, traditional electric vehicle charging systems are vulnerable to distributed denial of service and privileged insider attacks when the central charging server is attacked. The blockchain-based charging systems have been proposed to resolve these problems. In 2018, Huang et al. proposed the electric vehicle charging system using lightning network and smart contract. However, their system has an inefficient charging mechanism and does not guarantee security of key. We propose a secure charging system for electric vehicles based on blockchain to resolve these security flaws. Our charging system ensures the security of key, secure mutual authentication, anonymity, and perfect forward secrecy, and also provides efficient charging. We demonstrate that our proposed system provides secure mutual authentication using Burrows–Abadi–Needham logic and prevents replay and man-in-the-middle attacks using automated validation of internet security protocols and applications simulation tool. Furthermore, we compare computation and communication costs with previous schemes. Therefore, the proposed charging system efficiently applies to practical charging systems for electric vehicles.

G2V and V2G electric vehicle charger for smart grids

2016 ◽  
Author(s):  
Ricardo G. Gago ◽  
Sonia F. Pinto ◽  
Jose F. Silva
Keyword(s):  
Electric Vehicle ◽  
Smart Grids

Electric vehicle battery charger for smart grids

2012 ◽  
Vol 90 ◽  
pp. 18-29 ◽  
Author(s):  
Javier Gallardo-Lozano ◽  
M. Isabel Milanés-Montero ◽  
Miguel A. Guerrero-Martínez ◽  
Enrique Romero-Cadaval
Keyword(s):  
Electric Vehicle ◽  
Smart Grids ◽  
Battery Charger ◽  
Electric Vehicle Battery
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