scholarly journals Development of a Smart DC Micro-Grid for Plug-in Electric Vehicle Charging and Discharging

2010 ◽  
Vol 4 (4) ◽  
pp. 939-942
Author(s):  
Chunhua Liu ◽  
K.T. Chau ◽  
Jin Zhong
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicle Charging ◽  
Micro Grid ◽  
Vehicle Charging

scholarly journals Dynamic Time-Of-Use Pricing Strategy for Electric Vehicle Charging Considering User Satisfaction Degree

2020 ◽  
Vol 10 (9) ◽  
pp. 3247 ◽  
Author(s):  
Qian Zhang ◽  
Yue Hu ◽  
Weiyu Tan ◽  
Chunyan Li ◽  
Zhuwei Ding
Keyword(s):  
Electric Vehicle ◽  
Electric Vehicles ◽  
User Satisfaction ◽  
Pricing Strategy ◽  
Satisfaction Degree ◽  
Electric Vehicle Charging ◽  
Micro Grid ◽  
Vehicle Charging ◽  
Time Of Use Pricing ◽  
Dynamic Time

In order to solve the problem that the static peak-valley price for electric vehicles cannot truly reflect the relationship between electricity supply and demand, as well as the fact that the low utilization rate of renewable energy in the micro-grid, a dynamic time-of-use pricing strategy for electric vehicle charging considering user satisfaction degree is proposed, to achieve the goal of friendly charging for the micro-grid. Firstly, this paper researches the travel patterns of electric vehicles to establish the grid connection scenes and predict the controllable capacity of electric vehicles. Secondly, the charging preferences of different types of users are studied, and a comprehensive satisfaction degree model is set up to obtain different users’ charging strategies. Furthermore, the paper raises a pricing strategy on account of the dispatching requirements of the micro-grid, and realizes the effective dispatch of electric vehicle charging load based on price signals. Finally, we gain the dynamic time-of-use charging price, using the strategy proposed above, and the economic benefits brought to the micro-grid and electric vehicle users are analyzed, which validates the rationality and effectiveness of the pricing strategy.

scholarly journals Optimal Scheduling of Micro Grid for Plug-In Electrical Vehicle

2018 ◽  
Vol 7 (2.7) ◽  
pp. 558
Author(s):  
K Vijay Kumar ◽  
T Bharath Kumar
Keyword(s):  
Renewable Energy ◽  
Electric Vehicle ◽  
Optimal Schedule ◽  
Clean Energy ◽  
Energy Resources ◽  
Renewable Energy Resources ◽  
Electric Vehicle Charging ◽  
Micro Grid ◽  
Vehicle Charging ◽  
Ev Charging

Owing to several advantages of Plug-in Electric Vehicles (PEVs) like less noise, emission less, good efficiency and the reduced cost has attention to the governments, researchers and manufactures in recent time. The Plug-in Electric Vehicle (PEV) plays a vital role in    replacement of conventional vehicles in future, because of penetration of renewable energy resources in conventional generation. The modernized of micro grid is happening due to usage of clean energy for EV charging. The cost of electric vehicle charging is challenging issue in the development of plug-in electric vehicle. The coordination between renewable generation and conventional generation is very much needed in near future. The dynamic nature of renewable energy resources causes frequent interrupts in electric vehicle charging. The problem of nonlinear power generation with renewable resources is overcome by electric vehicle battery storage system which   enables the EV battery to charge during low demand period and gets discharged into the micro grid during high demand periods. This paper developed an optimal schedule for stationary Plug-in Electric Vehicle charging in operation with micro grid. The obtained optimal schedule provides balance between active and reactive power in generation and load as well. The integration of renewable energy resources is achieved through solar, wind in Vehicle-2-Grid (V2G) approach which is used to safeguard to renewable energy resources by store additional energy produced during peak load period and feeding back to the micro grid during low load period. As a result the stable operation of the micro grid and EV charging with low cost is achieved in this paper. 

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