双馈风力发电机单神经元自适应谐振控制

Single Neural Adaptive Resonant Control of Doubly Fed Induction Generator

针对不平衡电网电压下双馈风力发电机定子侧有、无功功率和电磁转矩波动的问题,将单神经元自适应谐振控制运用其中。在正转同步速旋转dq+坐标系下,将单神经元自适应PID控制器和谐振控制器相结合,单神经元自适应PID控制器具有良好的自学习和自适应能力,谐振控制器能有效抑制定子侧的二倍频交流分量,并且无需进行正负序分离、无需设计负序控制器。通过仿真分析可知,该控制策略不仅能实现转子侧变流器设定的控制目标,而且具有良好的动态调节能力。

Considering the stator side active power, reactive power and electromagnetic torque fluctuation, the single neuron adaptive resonant control was applied to doubly fed wind induction generator under unbalanced grid voltage. The single neuron adaptive PID controller has good self-learning and self-adapting ability by combining single neuron adaptive PID controller with resonant controller in the forward-rotating synchronous speed rotating dq^+ coordinate system. The resonant controller can effectively suppress the double-frequency alternating current component on the stator side, and does not need to separate the positive and negative sequence. Negative sequence controller does not need to be set up. The simulation results show that the control strategy not only can achieve the control objectives of the rotor side converter, but also has good dynamic regulation ability.