摘要
针对双馈风力发电系统中功率控制的时变性、随机性、复杂性以及非线性的特点,提出了一种基于模糊神经网络的功率解耦控制方法.该控制方法不依赖电机参数和精确的数学模型,能够实现双馈风力发电机有功、无功功率的解耦控制,具有控制简单、灵活、方便、有效的特点,系统鲁棒性强,适用于双馈风力发电机的功率控制.
This paper advances a method of power control based on fuzzy neural network according to the time-varying,randomness,complexity and nonlinear characteristic of doubly-fed induction generator（DFIG） in power control.The new control method decoupling active and reactive power control of the DFIG does not rely on the motor parameter and precise mathematical model,having the feature of simple,flexible and convenient in control and applying to the power control of DFIG.
出处
《湖北工业大学学报》
2011年第3期80-82,共3页
Journal of Hubei University of Technology
关键词
双馈风力发电机
变速恒频
模糊
神经网络
功率控制
variable-speed constant-frequency
fuzzy control
neural network
power control
