Quantitative performance assessment of wind turbine control systems based on linear quadratic Gaussian subspace benchmark
Aiming at the lack of quantitative standards and assessment methods in the current comprehensive assessment of wind turbine control performance,a quantitative assessment method of control performance based on subspace linear quadratic Gaussian(LQG)is proposed.The subspace matrix method is used to solve the assessment trade-off curve,and the benchmark and assessment index of LQG control performance of wind turbines are established.By taking the turbine retrofitted by adding tower damping and load shedding control as an example of the assessment,the multivariate comprehensive quantitative assessment of pitch control performance before and after retrofitting is carried out by using two kinds of data processing strategies.The results show that,both data processing strategies can obtain accurate and effective quantitative evaluation results,and the proposed evaluation method can realize the comprehensive quantitative evaluation of the optimization effect of control strategies.