| 基于ELM的静止无功发生器控制 |
| |
| 引用本文： | 李东东,粟时平,郑 倩. 基于ELM的静止无功发生器控制[J]. 华北电力技术, 2014, 0(5): 35-37,47 |
| |
| 作者姓名： | 李东东 粟时平 郑 倩 |
| |
| 作者单位： | 长沙理工大学电气与信息工程学院; |
| |
| 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。
|
| 关 键 词： | 极端学习机 静止无功发生器 电流直接控制 BP神经网络 |
Control of Static Var Generator Based on ELM |
| |
| Li Dongdong,Su Shiping,Zheng Qian. Control of Static Var Generator Based on ELM[J]. North China Electric Power, 2014, 0(5): 35-37,47 |
| |
| Authors: | Li Dongdong Su Shiping Zheng Qian |
| |
| Affiliation: | ( College of Electrical and Information Engineering, Changsha University of Science and Technology, Changsha 410114, China) |
| |
| Abstract: | 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. |
| |
| Keywords: | Extreme Learning Machine static var generator current direct control BP neural network |
| 本文献已被 CNKI 维普 等数据库收录！ |
|
