双馈发电系统的神经网络逆控制

Doubly-fed Generating System Based on Neutral Network Inverse Control

将神经网络逆控制方法应用于双馈发电系统,根据双馈发电机功率控制数学模型推导逆系统模型,合理选择逆控制输入、输出信号,用神经网络实现逆控制算法,将系统分解为有功功率和无功功率的两个单变量线性子系统。运用线性系统综合方法,设计了由PI调节器组成的有功功率和无功功率线性闭环子系统,建立了相应的仿真模型并进行了仿真。仿真结果表明,采用神经网络逆系统控制的双馈发电系统具有较好的性能,不仅能够方便地实现有功功率的控制,而且可独立地提供电网所需的无功功率。

Neural network inverse control （NNIC） is applied to doubly-fed induction generating system （DFIG） ,and the mathematical model of inverse system is derived from the power control model of the doubly- fed generator. Through the proper selection of input and output signals of inverse control system and the use of NNIC algorithm, the system is decomposed into active power and reactive power of the two single-variable line- ar subsystems. With the comprehensive approach of linear system, the two closed-loop subsystems were de- signed separately to consist of PI controllers,then the simulation model was built and run. Simulation results show that doubly-fed generating system with NNIC has good performance, for it can not only conveniently con- trol active power but also provide reactive power for power grid independently.