摘要
利用极端学习机(ELM)刻画复杂非线性系统的能力,以及较高的学习速度和良好的泛化性特点,将其运用于静止无功发生器的控制方案中。Matlab仿真表明,此控制方法不仅具有电流直接控制的控制精度同时还在训练时间上小于BP网络。
Using ELM,the ability of depicting the complex nonlinear systems,higher speed of learning and the good generalization properties are applied to control the static var generator. Simulation results show that the proposed control method has not only the accuracy of the direct current control,but also less training time than the BP neural network.
出处
《华北电力技术》
CAS
2014年第5期35-37,47,共4页
North China Electric Power
