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.
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references
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