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. A new type of PID excitation controller is proposed, which uses an improved genetic algorithm to optimize its parameters, which not only overcomes the subjectivity of parameter design, but also improves the optimization speed. The calculation results show that the search speed of this improved genetic algorithm matches with The accuracy is better than the heuristic method and the standard genetic algorithm.Compared with the traditional controller, it is shown that the PID-typed excitation controller optimized by the improved genetic algorithm has a good control effect on the dynamic characteristics of the power system.