基于改进遗传算法的PID型励磁系统控制器

摘要

A novel PID controller is designed for the excitation system of synchronous generator and its parameters are optimized using a modified Genetic Algorithm(GA)to overcome the subjectivity and raise the search speed.The computing results show that the modified GA is more quickly and precisely than Error-and-Trial method and conventional GA,and the simulation results indicate that the modified-GA-based PID controller can improve dynamic characteristic of power system compared with conventional excitation controller.%提出了一种新型PID型励磁控制器,采用一种改进的遗传算法优化其参数,不仅克服了参数设计的主观性,且可以提高优化速度.计算结果表明,这种改进遗传算法的搜索速度与精度均优于试探法和标准遗传算法.与传统控制器的仿真比较表明,采用改进遗传算法优化的PID型励磁控制器对于电力系统动态特性具有较好的控制作用.