Large-Scale Adaptive Electric Vehicle Charging

Author(s):  
Zachary J. Lee ◽  
Daniel Chang ◽  
Cheng Jin ◽  
George S. Lee ◽  
Rand Lee ◽  
...  
2013 ◽  
Vol 443 ◽  
pp. 273-278 ◽  
Author(s):  
Ceng Ceng Hao ◽  
Yue Jin Tang ◽  
Jing Shi

Large scale electric vehicles integration into power grid, as nonlinear loads, will pose inevitable impacts on the operation of power system, one of which the harmonic problem will affect the power quality greatly. Firstly, the article analyzes the characteristics of harmonic caused by electric vehicle charging. And then, the harmonic flow distribution is analyzed based on the IEEE standard node systems. During transient analyses, the electric vehicle charging stations connected to electric grid are represented as harmonic sources. Results show that structure and voltage grade of electric grid, capacity and access points of electric vehicle charging load will have different effects on harmonic problem. At last, a few conclusions are given for connecting electric vehicles to electric grid.


Author(s):  
Zachary J. Lee ◽  
Daniel Chang ◽  
Cheng Jin ◽  
George S. Lee ◽  
Rand Lee ◽  
...  

2021 ◽  
Vol 257 ◽  
pp. 01017
Author(s):  
Lin Xu ◽  
Bing Wang ◽  
Mingxi Cheng ◽  
Shangshang Fang

Due to the rapid promotion of electric vehicles, large-scale charging behavior of electric vehicles brings a large number of time and space highly random charging load, which will have a great impact on the safe operation of distribution network. This paper proposes a planning method of electric vehicle charging station based on travel data. Firstly, the didi trip data is processed and mined to get the trip matrix and other information. Then, the electric vehicle charging load forecasting model is established based on the established unit mileage power consumption model and charging model, and the charging demand distribution information is predicted by Monte Carlo method. Finally, the simulation analysis is carried out based on the trip data of some areas of a city, which shows the effectiveness of the established model feasibility.


2019 ◽  
Vol 10 (4) ◽  
pp. 68 ◽  
Author(s):  
Emilia Suomalainen ◽  
François Colet

One of the barriers holding back the large-scale development of electric vehicles is underdeveloped charging infrastructure. The optimal location of charging stations has received much attention, whereas the development of charging infrastructure over time and its economic implications remain a less explored topic, especially in the context of dynamic inductive charging. This work compares the infrastructure costs for two electric vehicle charging solutions deployed on highways: fast-charging stations and a dynamic charging lane based on wireless inductive charging technology. The deployment costs are estimated using a simplified infrastructure model for a highway corridor. The model first defines the required charging capacity based on projected future demand, sizes the charging infrastructure, and then determines the related costs, revenues, and net present value. A numerical example based on the French highway context is also presented. The results show that the payback period is much longer for dynamic charging lanes that for charging stations. In addition, the charging lane infrastructure cannot be installed gradually over time but requires a major investment from the start while bringing in little revenue early on.


2012 ◽  
Vol 608-609 ◽  
pp. 1560-1565 ◽  
Author(s):  
De Quan Gao ◽  
Yi Ying Zhang ◽  
Xiang Zhen Li

Electric vehicle (EV) is an emerging type of mobile intelligent power consumption device and energy storage terminal in Smart Grid. In order to solve automation and intelligence support problem for wide area electric vehicles charging-swap services, we make full use of technology. we analyze practical demands of electric vehicle charging-swap networks operation service scenarios and define the Internet of Things (IoT) architecture for electric vehicles for wide area unified operations and monitoring management in this paper. Then, we design a perception integration model for battery packs real-time information collection in mobile scenes. We also present a multimode collaborative communications method to implement large scale interconnection and intercommunication among electric vehicles, charging-swap devices and operation center. Finally we develop operations and monitoring platform demo for cross-regional electric vehicle charging-swap networks management using Geographic Information Systems (GIS) and Service-Oriented Architecture (SOA).


Automatica ◽  
2016 ◽  
Vol 69 ◽  
pp. 35-47 ◽  
Author(s):  
Zhongjing Ma ◽  
Suli Zou ◽  
Long Ran ◽  
Xingyu Shi ◽  
Ian A. Hiskens

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