考虑风机虚拟惯性的预测优化PIDD2自动发电控制方法

风电的大规模渗透，使分布式发电系统的自动发电控制(automatic generation control, AGC)必须应对自然环境不确定性所带来的影响，构建了风电机组参与频率调节的区域互联电网AGC模型；然后，对风机虚拟惯性的控制特性进行了分析，将其应用于短时负荷波动的快速响应；在此基础上，提出一种对带有二阶微分的比例积分微分控制器(proportional integral differential plus second order derivative, PIDD2)进行预测优化的控制策略。通过建立含PIDD2控制器的AGC模型，采用预测算法计算该系统的最优预测序列，并据此调整PIDD2控制器的参考信号，从而获取最优的AGC效果。仿真结果表明:在大规模风电渗透的AGC系统中，所提方法能有效解决传统固定参数PID控制器对系统动态变化所表现的不适应性问题。

An AGC Method Considering Virtual Inertial Control of Wind Turbine Based on Predictive Optimization PIDD^2

With high penetration of wind power,the automatic generation control(AGC)of distributed generation system has to deal with the problems caused by natural environment uncertainty.An improved AGC method is proposed,to reduce the negative impacts of uncertainty.Firstly,an AGC model for the regional power system with wind power participating in the frequency regulation is built.The virtual inertial control of wind turbine is introduced to respond to short-term output fluctuation.A predictive optimal control strategy with second-order proportional integral derivative controller is proposed.By establishing AGC model with PIDD^2 controller,the prediction algorithm is used to obtain the optimal prediction sequence of the AGC system which is used to adjust the reference signal for better AGC performance.The simulation result shows that the proposed method can effectively solve the problem that the tra?ditional PID controller with fixed parameters is inadaptable to the dynamic change of the system with high penetration wind power.