基于串级PI-(1+PD)算法的含飞轮储能互联电网AGC控制器设计

Controller design of an AGC based on a cascade PI-(1+PD)algorithm for an interconnected power grid with flywheel energy storage

针对传统控制器存在的响应速度较慢、超调较大及鲁棒性较差等问题,提出一种基于串级PI-(1+PD)算法的含飞轮储能互联电网AGC控制器设计方法。首先,建立含飞轮储能的两区域互联电网AGC系统模型,模拟飞轮储能联合火电机组参与AGC的过程。然后,设计一种基于串级PI-(1+PD)算法的AGC控制器。外环采用PI控制,内环采用带滤波系数的(1+PD)控制。在保证系统稳态性能的前提下,提高动态响应速度和抗扰能力,并通过粒子群算法的迭代寻优获得最优的控制器参数。最后,基于Matlab/Simulink进行算例仿真分析。结果表明:与传统PID控制和PI-PD控制相比,所提方法不仅具有更快的响应速度与更小的超调量,而且增强了系统抵御内部参数摄动的鲁棒性。

There are problems of slow response speed,large overshoot,and poor robustness of traditional controllers.Thus a design method for an AGC controller for an interconnected power grid with flywheel energy storage based on a cascade PI-(1+PD)algorithm is proposed.First,the AGC system model of a two-area interconnected power grid with flywheel energy storage is established to simulate the process of a flywheel energy storage combined thermal power unit participating in AGC.Then,an AGC controller based on the cascade PI-(1+PD)algorithm is designed.The outer loop uses PI control,and the inner loop uses(1+PD)control with a filter coefficient.With the aim of ensuring the steady state performance of the system,it improves the dynamic response speed and disturbance suppression ability.The optimal controller parameters are obtained through iterative optimization of the particle swarm optimization algorithm.Finally,simulation analysis is performed in Matlab/Simulink.The results demonstrate that compared with the conventional PID control and the PI-PD control,the proposed method not only has faster response speed and smaller overshoot,but also enhances the robustness of the system against internal parameter perturbation.