A Benchmark Model for Model Order Reduction: Large-scale Wind Farms

A large-scale wind farm model is presented as a benchmark model for various model order reduction (MOR) methods. Firstly, the detailed mathematical description of a wind turbine generator is provided, including the aerodynamic and mechanical sub-blocks of the wind turbine, the electrical sub-block of the generator, and the associated controllers. Based on the wind turbine generator model, a large-scale wind farm model is created whose dimension can be easily changed to test MOR methods on different scales. Finally, the wind farm model is utilised as a benchmark model to show the performance of a nonlinear MOR method and a linear MOR method.

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Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.03.027
Primary Topic
Model Reduction and Neural Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

A Benchmark Model for Model Order Reduction: Large-scale Wind Farms

Zilong Gong, Adrià Junyent‐Ferré, Giordano Scarciotti, Hanqing Zhang
IFAC-PapersOnLine
Model Reduction and Neural Networks
article

A Benchmark Model for Model Order Reduction: Large-scale Wind Farms

Zilong Gong, Adrià Junyent‐Ferré, Giordano Scarciotti, Hanqing Zhang
article en

Abstract

A large-scale wind farm model is presented as a benchmark model for various model order reduction (MOR) methods. Firstly, the detailed mathematical description of a wind turbine generator is provided, including the aerodynamic and mechanical sub-blocks of the wind turbine, the electrical sub-block of the generator, and the associated controllers. Based on the wind turbine generator model, a large-scale wind farm model is created whose dimension can be easily changed to test MOR methods on different scales. Finally, the wind farm model is utilised as a benchmark model to show the performance of a nonlinear MOR method and a linear MOR method.

IFAC-PapersOnLineVol. 59(1)
Imperial College London (GB)
Affordable and clean energy
Openalex Percentile: Top 95%
Model Reduction and Neural Networks
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