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The Impact Of Electric Vehicle Charging Stations On The Grid

Posted on:2014-01-13Degree:MasterType:Thesis
Country:ChinaCandidate:Z H LiFull Text:PDF
GTID:2232330398460566Subject:Motor and electrical appliances
Abstract/Summary:PDF Full Text Request
With the popularity of electric vehicles, as the supporting facilities of electric vehicles, charging stations will also be constructed a lot in the near future. It will have a large impact on the power grid, voltage and current that a large number of electric vehicle charging stations connected to the grid, in order to provide technical support to serve the charging station construction, reduce adverse impact of electric car charging stations on the grid, improve economic efficiency, the study of the impact of electric vehicle charging stations on the grid load characteristics and the corresponding solutions is made in this paper.First, several common types of electric vehicle charging machines are introduced, their different characteristics and scope of application are analyzed. It is pointed out that the electric vehicle charging station load is influenced by several factors such as user charging habits and electric vehicle charging belongs to the random behavior. On the basis of the analysis of the electric vehicle charging behavior, the daily load curve of the electric car charging stations is made by use of statistical methods. The model of electric vehicle charging stations is made. Based on this model, the load forecasting of electric vehicle charging stations will be better provided.Through the establishment of a regional power grid model, the electric vehicle charging station load curve is predict. The impact of charging stations on the user side of low voltage is analyzed under the condition of large-scale access of Electric vehicle charging stations. The main implementations of the program are as follows. Electric vehicle charging station load model and grid users typical daily load model are established according to the statistically. In PSCAD, the IEEE34nodes model is used to simulate a typical regional grid. Under Coordination charge and non-coordinated charging conditions, the impact on the grid daily load curve and grid voltage is analyzed in different power charging station access. The adverse effects of non-coordinating charging mode and the beneficial effects of coordinating the charging on the grid are pointed out. The user’s charging behavior of electric vehicles should be reasonably guided. At the same time, the impact of electric vehicle charging stations on energy metering is discussed and appropriate solutions are proposed.Electric vehicle charging stations belong to high-power load after connected to the grid. Therefore it may cause a re-distribution of grid load, the trend changes and the increase in the net loss. The charging station load model is established in typical distribution network model in this paper. The impact on the distribution network power flow after the electric vehicle charging stations accessed to the grid is calculated. And then some measures to reduce the network loss are brought up, which are proved by relational calculation cases. In order to provide better service in the future development of charging stations will primarily provide fast-charge. Therefore, on the basis of the analysis of the transient, the impact of fast charging electric vehicle charging stations as the impact load on the grid is analyzed.Finally, the previously proposed method is verified by use of jiaozhuang operating data electric vehicle charging stations in Shandong Province, Linyi. Voltage and power data of the charging station are analyzed。The future research directions of electric vehicle charging stations and electric vehicles as V2G mode are forecasted by the end of the article. The electric vehicle is an emerging direction to solve the current energy crisis. Its use as a new energy carrier also will play a far-reaching impact.
Keywords/Search Tags:Electric vehicle charging stations, Load Modeling, Coordinated charging, Flow calculation
PDF Full Text Request
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