风力发电和飞轮储能联合系统的模糊神经网络控制策略

Fuzzy Neural Network Control Strategy of Wind Generation and Flywheel Energy Storage Combined System

针对于风力发电和飞轮储能联合系统,提出了一种新的控制策略。基于飞轮储能系统里矢量控制的感应电机,建立了系统的数学模型。在系统里,采用模糊神经网络控制算法实现直流总线电压的自动调整,达到稳定系统的直流总线电压的目的。仿真和实验结果证明,在风力发电和飞轮储能联合系统的能量控制过程中使用模糊神经网络控制算法实现了能量的快速存储和释放,起到了稳定系统电压的作用,取得了满意的控制效果。

A new control strategy for a wind generation and flywheel energy storage combined system was proposed. A mathematical model of the system was built based on a vector-controlled induction machine driving a flywheel. The fuzzy neural network （FNN） control method was designed in the system in order to regulate direct current （DC） bus voltage, which was the object of the system. The emulational and experimental results on a wind simulator and flywheel energy storage combined system have verified that proposed energy complementary control can satisfactorily regulate the power of the storage unit to store and release energy and thus to maintain a steady DC voltage from the system.