基于模糊免疫自适应PID的风力发电机励磁控制方法

Wind Turbine Excitation Control Method Based on Fuzzy Immune Adaptive PID

由于进行风力发电机励磁控制的过程中没有考虑发电机内部状态变化以及非主要电路的控制作用,导致控制后的电压、电流与输出功率均不稳定,为此,提出基于模糊免疫自适应PID的风力发电机励磁控制方法。基于假设条件建立励磁系统模型,主要包含风力发电机数学模型、电压测量与比较单元的数学模型、移动触发与功率单元的数学模型3个部分。基于免疫反馈的原理,提出免疫PID控制器,设定控制规律,在此基础上,采用粒子群算法对控制器参数优化,包含待优化参数编码、适应度函数值评价和最优位置寻找3个部分,在优化后,实时调整控制器,从而实现风力发电机励磁控制。实验结果表明,所提方法控制后的电压、电流与输出功率均稳定,获得了较好的控制效果。

Because the internal state change of the generator and the control effect of non main circuits are not considered in the excitation control of wind turbine generator,the voltage,current and output power after control are unstable.Therefore,a wind turbine excitation control method based on fuzzy immune adaptive PID is proposed.The excitation system model is established based on the assumed conditions,which mainly includes three parts:the mathematical model of wind turbine generator,the mathematical model of voltage measurement and comparison unit,and the mathematical model of mobile trigger and power unit.Based on the principle of immune feedback,an immune PID controller is proposed,and the control law is set.On this basis,the particle swarm optimization algorithm is used to optimize the controller parameters,including parameter coding to be optimized,fitness function value evaluation.After optimization,the controller is adjusted in real time to realize the excitation control of wind turbine generator.The experimental results show that the voltage,current and output power of the proposed method are stable,and a good control effect is obtained.