介绍了迭代自学习控制的原理 ,将其用于 FACTS(以可控串补为例 )的暂态稳定控制 ;比较了固定串补、PI控制和迭代自学习控制的可控串补对系统暂态稳定的影响 ;指出迭代自学习控制具有一系列常规控制算法所没有的优点 ,是值得进一步深入研究的控制方法 This paper introduces the principle of iterative self-learning control and applies it to the transient stability control of FACTS (for example, controllable series compensation). By comparing the controllable series compensation of fixed series compensation, PI control and iterative self-learning control State stability. It is pointed out that Iterative self-learning control has a lot of advantages that conventional control algorithms do not have, and it is a control method that deserves further study