EQUIVALENT MODELING OF FAULT CHARACTERISTICS OF DOUBLY-FED WIND FARM BASED ON FUZZY K-MEANS ALGORITHM

Gao Ze; Liu Mingyang; Li Chenghao; Wang Yi; Tian Chunsun

doi:10.19912/j.0254-0096.tynxb.2024-2297

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 227-236. DOI: 10.19912/j.0254-0096.tynxb.2024-2297

EQUIVALENT MODELING OF FAULT CHARACTERISTICS OF DOUBLY-FED WIND FARM BASED ON FUZZY K-MEANS ALGORITHM

Gao Ze¹, Liu Mingyang¹, Li Chenghao¹, Wang Yi², Tian Chunsun¹

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Abstract

In order to improve the accuracy of wind farm equivalent modeling, this paper presents a method of fault characteristic equivalent modeling based on fuzzy K-means algorithm for doubly-fed wind farm. First, terminal voltage disturbance characteristic index, wind speed, and rotor angular velocity are selected as clustering indicators for wind turbine grouping. Secondly, honey badger algorithm and fuzzy entropy are used to optimize the initial clustering center selection process of K-means algorithm, which improves the accuracy of clustering and groups the units; then, each unit in the cluster is equivalent to one unit and the equivalent parameters are calculated. Finally, a practical doubly fed wind farm in Henan Province is taken as an example to test and analyze, and the test results show that the proposed equivalent modeling method can reflect the fault characteristics of wind farm more accurately.

Key words

wind farm / equivalent modeling / rotor angular velocity / honey badger algorithm / fuzzy entropy / K-means

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Gao Ze, Liu Mingyang, Li Chenghao, Wang Yi, Tian Chunsun. EQUIVALENT MODELING OF FAULT CHARACTERISTICS OF DOUBLY-FED WIND FARM BASED ON FUZZY K-MEANS ALGORITHM[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 227-236 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2297

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