EVALUATION AND DIAGNOSIS OF WIND TURBINE CONTROL PERFORMANCE BASED ON LQG BENCHMARKS

Gao Feng; Zhang Ziyan; Niu Lu; Qian Chenkai; Yao Yunlong

doi:10.19912/j.0254-0096.tynxb.2025-0036

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 368-376. DOI: 10.19912/j.0254-0096.tynxb.2025-0036

EVALUATION AND DIAGNOSIS OF WIND TURBINE CONTROL PERFORMANCE BASED ON LQG BENCHMARKS

Gao Feng, Zhang Ziyan, Niu Lu, Qian Chenkai, Yao Yunlong

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Abstract

In response to the lack of effective comprehensive quantitative evaluation methods for control performance in current wind turbine control performance diagnosis, this paper proposes a wind turbine control evaluation method based on the linear quadratic Gaussian （LQG） benchmark, which integrates multiple performance aspects such as power, load, and vibration. This evaluation method solves the problem of the difficulty of accurately establishing the subspace matrix of wind turbine units through subspace identification. At the same time, based on the LQG evaluation benchmark, a multi-objective comprehensive quantitative evaluation of unit control performance is carried out, and a wind turbine control performance diagnosis method is established. Finally, using a 2 MW wind turbine as a simulation example, the control performance post-assessment of a specific load reduction strategy and the control performance diagnosis of multiple units of the same type are carried out. The results indicate that the proposed diagnostic method can effectively identify units with degraded control performance, while the LQG-based control performance evaluation method aids in the quantitative analysis of the overall control performance of the units, thereby facilitating the optimization of wind turbine control.

Key words

wind turbines / performance evaluation / quantification / LQG benchmark / subspace identification / performance diagnostics

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Gao Feng, Zhang Ziyan, Niu Lu, Qian Chenkai, Yao Yunlong. EVALUATION AND DIAGNOSIS OF WIND TURBINE CONTROL PERFORMANCE BASED ON LQG BENCHMARKS[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 368-376 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0036

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