| Autor: |
Jiale Yu, Haoran Zhao, Yibao Jiang, Bing Li, Linghan Meng, Futao Yang |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
International Journal of Electrical Power & Energy Systems, Vol 162, Iss , Pp 110297- (2024) |
| Druh dokumentu: |
article |
| ISSN: |
0142-0615 |
| DOI: |
10.1016/j.ijepes.2024.110297 |
| Popis: |
Electromagnetic transient (EMT) simulation plays a critical role in understanding the dynamic behavior and fast transients involved in wind farms (WFs). However, as WFs continue to develop on a large scale, the increasing number of wind turbines and network nodes poses significant challenges for efficient EMT simulation of WFs. To address this issue, we propose a fine-grained network decoupling method for doubly-fed induction generator (DFIG) based WFs. This paper first establishes the decoupling algorithm for core electrical equipment of DFIG-based WFs. By employing device-level fine-grained decoupling, the dimensionality of the admittance matrix for WF is effectively reduced, significantly decreasing the computational load. Additionally, this paper establishes a scalable computational framework by integrating multi-threaded parallel computation into the simulation process, which enhances efficiency further. The proposed method is compared with detailed models in Matlab/Simulink to verify efficiency and accuracy. Simulation results demonstrate that this method significantly improves simulation efficiency, achieving a two-order-of-magnitude speedup with 50 wind turbines, and it maintains high simulation accuracy, with a maximum relative error of 1.68%. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full Text from ScienceDirect