预测优化PID方法在含风电电力系统AGC中的应用

Application of Predictive Optimization PID Method to AGC of Power System with Wind Power

随着现代电力系统中清洁能源发电容量占比不断提高,外部环境的不确定性对自动发电控制AGC效果的影响不容忽视。本文首先考虑风电影响,构建了含风电电力系统AGC模型。在此基础上,提出了一种预测优化比例积分微分PID控制器设计方法,并将优化后的PID控制器融入系统模型中,根据预测算法获取系统的最优预测序列,并据此调整PID控制器的输入,以解决传统PID控制器参数固定对系统动态特征所表现的不适应性,从而获取最优的AGC效果。仿真结果说明,所提方法能有效应对风电接入后带来的不确定性,具有更好的控制性能表现。

In a modern power system,along with the increase of the proportion of clean energy generation capacity,the influence of uncertainties of external environment on the effect of automatic generation control(AGC)cannot be neglected.In this paper,research is carried out in light of this problem.First,an AGC model of power system with wind power is constructed in consideration of the influence of wind power.On this basis,a design method for a predictive optimization proportional integral derivative(PID)controller is proposed,and the optimized PID controller is further applied to the system model.According to the system's optimal forecast sequence obtained using the prediction method,the input to the PID controller is adjusted to obtain the optimal AGC effect by eliminating the inadaptability of the fixed parameters of the traditional PID controller with respect to the system's dynamic characteristics.Simulation results show that the proposed method can effectively deal with the uncertainties brought by the access of wind power,and it has better control performance.