【摘要】 针对额定风速以上变速恒频风力发电机组的运行优化问题,提出了一种基于有效平均风速估计的自适应增益调度线性二次型高斯(AGS-LQG)最优控制策略,通过扩展Kalman滤波进行有效平均风速估计,将此有效平均风速作为调度变量对控制器参数实施AGS,以适应系统稳态工作点的变化,从而可以实现多变量综合优化控制。以1.5MW变速恒频风力发电机组为研究对象,给出了大范围变化风况激励下反映机组运行情况的仿真曲线。仿真结果表明,相对于传统控制策略,所提出的AGS-LQG最优控制策略不仅稳定了风轮转速,平滑了输出功率,而且降低了变桨距机构的动作频率,缓和了传动链上的疲劳载荷,对于改善并网风力发电的电能质量、延长设备的使用寿命具有重要意义。更多还原

【Abstract】 To optimize the operation efficiency of the large-scale variable-speed constant-frequency (VSCF) wind power generation system above the rated wind speed, an adaptive gain-schedule linear-quadratic-Gaussian (AGS-LQG) control strategy is proposed on the basis of effective mean wind speed estimation with the extended Kalman filter. The effective mean wind speed is as the scheduling variable to achieve adaptive gain schedule of controller parameters, so the controller can operate well even though the operation point changes. The proposed AGS-LQG control strategy can realize multi-variable integrated optimal control for the large-scale VSCF wind power generation system. Simulation results on a 1.5 MW VSCF wind power generator show that, on condition of large-scale variable wind speed, the AGS-LQG control strategy can not only make the wind turbine rotate speed more stable to smooth the generator’s output power, but also reduce the action frequency of pitch-controlled equipment to alleviate the mechanical load of transmission chain. The method has great significance on the improvement of power quality and prolonging service life of facilities.更多还原