基于风能转换系统的多层次多模型预测控制

The Multi-level Multi-model Predictive Control of Wind Energy Conversion System

针对阶跃型风速的风能转换系统,根据风速的阶跃时间尺度特性,从风能转换系统非线性方面考虑建立模型的方案上,各个方面分析电机等在额定功率下工作的情况,从而确立风能转换系统。在风能转换系统非线性模型的基础上运用多层次多模型(Multi-hierarchicalmulti-model,MHM)预测控制方法,分析各通道非线性程度对系统动态特性的影响,运用最合适模型切换方法。并将此方法应用到相对应所得到的风能转换系统中。仿真成果表明,该方法日臻完善了系统工况大领域跳变时的动态职能。

For wind energy conversion system, based on the characteristics of wind speed of multiple time scales in wind energy conversion system, on the basis of nonlinear mechanism model, considering the motor and the parts working under rated power, wind energy conversion system is established. By using multi-level multiple model （Multi - hierarchical Multi - model, MHM） predictive control will build multiple models of wind energy conversion system, based on the analysis of the nonlinear channel model level switch and multi-model switching process of the system, on the basis of the influence of the dynamic characteristics, this paper proposes a new model switching method. And the method is applied to the multiple input multiple output of wind energy conversion system, the simulation results show that this method can effectively improve the dynamic performance of system operating mode when a wide range of jump.