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

Author(s):  
Zuzhi Zhang ◽  
Haiping Xu ◽  
Lei Shi ◽  
Dongxu Li ◽  
Yuchen Han
Electronics ◽  
2021 ◽  
Vol 10 (20) ◽  
pp. 2484
Author(s):  
Salwan Ali Habeeb ◽  
Marcos Tostado-Véliz ◽  
Hany M. Hasanien ◽  
Rania A. Turky ◽  
Wisam Kaream Meteab ◽  
...  

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.


Author(s):  
M. Moradijoz ◽  
F. Moazzen ◽  
S. Allahmoradi ◽  
M. Parsa Moghaddam ◽  
M.R Haghifam

2019 ◽  
Vol 10 (2) ◽  
pp. 2127-2136 ◽  
Author(s):  
Ye Shi ◽  
Hoang Duong Tuan ◽  
Andrey V. Savkin ◽  
Trung Q. Duong ◽  
H. Vincent Poor

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 3028 ◽  
Author(s):  
MyeongHyun Kim ◽  
KiSung Park ◽  
SungJin Yu ◽  
JoonYoung Lee ◽  
YoungHo Park ◽  
...  

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.


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

2018 ◽  
Vol 12 (1) ◽  
pp. 215-229
Author(s):  
Chankook Park

Background: To understand the Electric Vehicle (EV) management effects deeply using Smart Grids (SGs) in the electric power sector, it is necessary to examine supply specifics such as the generation mix, generation costs, and CO2 emissions as well as the demand sector including peak load. This study attempts to comprehensively examine the changes in power supply and demand their effects in accordance with the degree of SG utilization, based on a scenario for the projection of EV roll-out in South Korea. Objectives: This study considers the change of the generation capacity mix as well as the change of power generation mix using the WASP model for the analysis of SG effects on EV management. In the scenario of the Korean government's EV deployment, this study has confirmed how electric power demand changes according to the degree of smart grid utilization. In addition, the WASP model has been used to examine not only the power generation mix but also the change in the installed capacity. Result: As a result, if the share of cost-effective and clean power generation sources is below the minimum load, the unit cost and CO2 emission could not be reduced together even though SGs are used to manage EVs. Conclusion: Increasing the share of power generation from clean energy sources to a level higher than that of the minimum load will allow EVs to become an eco-friendly means of transportation.


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