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| Content Provider | IET Digital Library |
|---|---|
| Author | Tong, Xiangqian Ma, Qiao Tang, Kaiyu Liu, Huakun Li, Cheng |
| Abstract | The electric vehicle, if accessed in the distribution network disorderly and extensively, will influence the safe, stable, and economic operation of the network, due to the characteristics of its randomness, intermittency, and duality with source and load. Here, the power demand models of different electric vehicles were established by analysing the behaviour of electric vehicle loads attributed to different users, and the spatial-temporal distribution pattern of various electric vehicle loads in the distribution network was predicted with the Monte–Carlo method. Based on this regular pattern, an evaluation method for the adaptability of the distribution network to electric vehicles was proposed. Finally, the influence of electric vehicle loads under different access modes on the static voltage stability margin was tested with the IEEE33 node distribution network. |
| Starting Page | 2658 |
| Ending Page | 2662 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 16, Mar (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/conferences/cn-adc-2018 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.8906 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2018-10-26 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Distribution Network Electric Vehicle Electric Vehicle Access Mode IEEE33 Node Distribution Network Monte Carlo Method Power System Economics Power System Managemen Power System Operation Power System Stability Spatial-temporal Distribution Pattern Transportation |
| Content Type | Text |
| Resource Type | Article |
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