同步发电机初态学习与PSS结合的励磁控制

Initial State Iterative Learning Control and PSS Excitation Control for Synchronous Generator

为了解决开环迭代学习励磁控制器对大干扰耐受力差、对初始定位要求严格的问题,针对多机电力系统,设计了具有初态学习的开闭环迭代学习控制(ILC)+PSS的励磁控制器。该控制器在开环ILC的基础上,引入机端电压闭环反馈信号,另外为放宽对初态的要求,允许有一定的初始定位误差,对算法还进一步改进,初态也进行学习,同时还结合PSS提供的正阻尼能力,以增强系统的功角稳定性。最后,仿真结果表明,该励磁控制器不但能快速达到机端电压的调节精度,而且改善了系统的功角稳定性。

In order to solve the problems of weak ability to resist disturbance and strict requirement for initial position of open-loop iterative learning control（ ILC）, an open-closed-loop ILC with initial state learning and PSS excitation controller is designed for multi-machine power systems. The controller introduces terminal volt- age closed-loop feedback signal to original open-loop ILC controller, and allows a certain initial repositioning errors to relax the requirements for initial state, which is made further improvement of initial state learning. Simultaneously, the positive damping capability provided by PSS is used to improve the power angle stability. Finally, simulation results show that the designed excitation controller can not only reach the terminal voltage regulation accuracy more rapidly, but also can improve the power angle stability.