Review of equivalent modeling methods for doubly-fed wind farm

Yudong Jia; Jie Qiu; Xinyi Li; Yongqiang Zhu; Ruihua Xia

doi:10.1117/12.3014883

4 March 2024 Review of equivalent modeling methods for doubly-fed wind farm

Yudong Jia, Jie Qiu, Xinyi Li, Yongqiang Zhu, Ruihua Xia

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129814K (2024) https://doi.org/10.1117/12.3014883
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

The continuous enlargement of doubly-fed wind farms has led to an exponential increase in the number of doubly-fed wind turbines within each wind farm, with projections suggesting that the count may even surpass thousands. If all components of an individual doubly-fed wind turbine are simulated, the wind farm model will reach thousands of orders. Simulating such a large model will produce a lot of calculations, which makes the results difficult to converge. Thus, it is crucial to perform an equivalent simulation of the wind farm and establish a corresponding model. Firstly, this paper summarizes the static equivalence and time-varying equivalence methods for modeling the wind farm at the station level. Then, the single-machine modeling method of typical DFIG is analysed, and the development direction of single-machine generalized modeling is proposed. Finally, the accuracy evaluation method and error correction method of the equivalent model summarized above are summarized, and the improvement and development direction of the accuracy evaluation method are proposed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yudong Jia, Jie Qiu, Xinyi Li, Yongqiang Zhu, and Ruihua Xia "Review of equivalent modeling methods for doubly-fed wind farm", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129814K (4 March 2024); https://doi.org/10.1117/12.3014883

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