| Author: | Gao, Yihe |
| Title: | Long-term electric vehicle load forecasting and the impacts on power grids |
| Advisors: | Wang, Qin (EEE) |
| Degree: | M.Sc. |
| Year: | 2024 |
| Department: | Department of Electrical and Electronic Engineering |
| Pages: | ii, 67 pages : color illustrations |
| Language: | English |
| Abstract: | Long-term load forecasting of electric vehicles(EV) is a crucial indicator, especially in the context of the zero-emission era. As an environmentally friendly mode of transportation, electric vehicles can significantly limit the emission of gases such as carbon dioxide, mitigate the greenhouse effect, and alleviate energy issues. The future ownership of electric vehicles is calculated through the policies of the Hong Kong government departments. The time model for charging electric vehicles is calculated through data analysis of existing electric vehicle charging behavior. Considering the different charging methods caused by the use of electric vehicles, the types and charging conditions of electric vehicles are classified according to their uses, and a load model is established. The Monte Carlo method is used to simulate the load time distribution characteristics of electric private vehicles, the charging stations of electric private vehicles are divided into residences, offices, and entertainment venues to establish a time distribution model. The impact of future electric vehicles on the grid environment is analyzed through the load model, and the OPENDSS software is used for simulation. The impact of V2G technology on grid distribution is explored through the analysis of the grid load of electric vehicles. Additionally, a V2G inverter-rectifier control method is discussed, employing principles of power electronics to enable efficient bidirectional power flow. This approach leverages advanced control strategies within power electronics to enhance the stability and responsiveness of the V2G system, optimizing both grid support and battery management during charging and discharging cycles. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 8483.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.83 MB | Adobe PDF | View/Open |
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