Energy Model of Electric Vehicle Filling Station

2012 ◽  
Vol 608-609 ◽  
pp. 1618-1622
Author(s):  
Ru Tong Zhang ◽  
Teng Fei Yao

With the increasingly grim world environmental degradation and energy crisis, the industrial development of electric vehicles and charging for electric facilities has risen to national strategy. Based on the introduction of electric vehicle energy supply mode, proposed for power mode is the main push of the State Grid Corporation of business model. The Large-scale construction of electric vehicle filling station presents a challenge to Power grid, but through the application of V2G technology, electric vehicle power battery become smart grid energy storage structure, strengthen the new energy, electric vehicle charging the relationship between the three power stations and smart grid, and accelerate the integration process among the three.

2015 ◽  
Vol 1092-1093 ◽  
pp. 463-466
Author(s):  
Li Jun Qin ◽  
Wan Tao Yang

The access problem of new energy is one of the core content of the smart grid. New energy such as wind, solar, electric vehicle charging stations have strong intermittent and fluctuations. Their technical performance is poor to access to the grid.They inject harmonics into grid and have other issues. This paper describes the impact on the distribution network after the wind, photovoltaic power generation, electric vehicle charging stations connected to the grid.It is hoped that you can build smart grid distribution model,research in-depth and analysis the combined effects of smart distribution grid after new energy sources accessed, to achieve the monitoring of the various components of the distribution network and the best combination for electricity.


Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1545 ◽  
Author(s):  
Sara Deilami ◽  
S. M. Muyeen

The electrification of transportation has been developed to support energy efficiency and CO2 reduction. As a result, electric vehicles (EVs) have become more popular in the current transport system to create more efficient energy. In recent years, this increase in EVs as well as renewable energy resources (RERs) has led to a major issue for power system networks. This paper studies electrical vehicles (EVs) and their applications in the smart grid and provides practical solutions for EV charging strategies in a smart power system to overcome the issues associated with large-scale EV penetrations. The research first reviews the EV battery infrastructure and charging strategies and introduces the main impacts of uncontrolled charging on the power grid. Then, it provides a practical overview of the existing and future solutions to manage the large-scale integration of EVs into the network. The simulation results for two controlled strategies of maximum sensitivity selection (MSS) and genetic algorithm (GA) optimization are presented and reviewed. A comparative analysis was performed to prove the application and validity of the solution approaches. This also helps researchers with the application of the optimization approaches on EV charging strategies. These two algorithms were implemented on a modified IEEE 23 kV medium voltage distribution system with switched shunt capacitors (SSCs) and a low voltage residential network, including EVs and nonlinear EV battery chargers.


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