Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical Engineering | en_US |
| dc.contributor.advisor | Chan, Kevin (EE) | en_US |
| dc.creator | Gao, Yijie | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11869 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Smart charging strategy of electric vehicles for grid load valley filling in low penetration state | en_US |
| dcterms.abstract | Electric vehicles have bright prospects for solving the global environmental pollution problem, but it is inevitable that rechargeable vehicles will have an impact on the power grid when charging. Due to the complexity of the charging process, there are many choices in the research direction. This thesis briefly enumerates the research of some scholars, and classifies and summarizes them. The goals of these smart charging strategies can be divided into two parts: technical operation and economic management. Because these two parts are the two aspects that must be considered in the charging process: one is the interests of each participant in the charging link, and the other is the actual needs of the electric vehicles and the power grid. Other scholars not only consider the use of electric vehicles as a load to consider smart charging strategies, but also turn to more possibilities - by using the V2G technology. With the development of new energy power generation technologies, electric vehicles are also considered to be combined with new energy. Some scholars thought about that to further develop the V2G technology. | en_US |
| dcterms.abstract | But the basis of most scholars' research is private cars that have enough influence on the power grid, which is not realistic in China. The penetration rate of electric vehicles in China is less than 5%, and the distribution is uneven. In order to promote the development of electric vehicles, Shenzhen gradually replaced all its taxis with electric vehicles. This thesis discusses the possibility of smart charging strategies with taxis by using Shenzhen as an example. There are clear differences of charging factors between a private car and a taxi. And it explores the prerequisites necessary for smart strategies such as infrastructure. And some of them provide support for taxis as the basis of smart strategies. A simulation of such case based on an ideal filling strategy with electric taxis and base load of Shenzhen shows that a smart charging strategy can be proposed based on electric taxis. However, the ideal grid filling strategy may not be easily realized in practice. Therefore, in response to the goal of taxi drivers to maximize their profit, this thesis further discusses a smart charging strategy that utilizes low electricity prices to encourage taxis charging in the grid valley, and discusses different situations related to the characteristics of taxis. In addition, it shows the shortcoming of this strategy and proposed some directions of further development. | en_US |
| dcterms.extent | vi, 40 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2020 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Electric vehicles -- Batteries | en_US |
| dcterms.LCSH | Battery charging stations (Electric vehicles) -- China | en_US |
| dcterms.LCSH | Electric power system stability | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 6357.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.23 MB | Adobe PDF | View/Open |
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