基于差分进化算法的风电机组变桨参数寻优

OPTIMIZATION OF PITCH CONTROLLER PARAMETERS FOR WIND TURBINE BASED ON DIFFERENTIAL EVOLUTION ALGORITHM

针对大型双馈式风电机组变桨控制器参数优化问题,提出基于差分进化算法离线寻优变桨控制器PI参数的策略。基于GH Bladed软件得出的双馈式风电机组的高阶线性化模型,利用Matlab软件辨识出既满足精度要求,又可进行参数寻优的低阶模型。然后采用差分进化算法优化变桨PI控制器参数。利用寻优得到的参数进行变增益变桨控制,以达到稳定功率的控制目标。以5 MW双馈式风电机组为研究对象进行仿真验证。在阵风工况下,寻优后的输出功率很快恢复到额定值附近,而且最大偏离量较优化前小。在平均风速为16、18和20 m/s的湍流风工况下,寻优后的输出功率标准差较优化前分别降低23.31%、22.78%和18.32%。

In order to optimize the parameter of pitch controller for large-scale doubly-fed wind turbines,a strategy based on differential evolution algorithm is proposed for off-line optimization of pitch controller PI parameters. Based on the high-order linearization model of the doubly-fed wind turbine obtained by the GH Bladed software,an accurate low-order model that can be parameter-optimized is identified by Matlab software. The differential evolution algorithm is used to optimize the PI controller parameters. The optimized parameters are used for variable-gain pitch control to stabilize power. Taking the 5 MW double-fed wind turbine as the simulation object,the optimized output power return to the rated value rapidly under gust conditions,and the maximum deviation is smaller than before. Under turbulent wind conditions,the standard deviation of optimized output power at average wind speeds of 16,18 and 20 m/s decrease by 23.31%,22.78% and 18.32% comparing with that before optimization.