| 基于 Hopfield 神经网络的谐波电流检测方法 |
| |
| 引用本文： | 王萍,邹宇,郭翠双.基于 Hopfield 神经网络的谐波电流检测方法[J].天津大学学报(自然科学与工程技术版),2007,40(12):1431-1435. |
| |
| 作者姓名： | 王萍 邹宇 郭翠双 |
| |
| 作者单位： | 天津大学电气与自动化工程学院 天津300072 |
| |
| 摘 要： | 在对各种谐波电流检测方法进行简单比较的基础上,提出了一种基于Hopfield神经网络(HNN)的谐波电流检测方法.该方法将HNN优化理论用于电力系统的谐波检测,自适应地准确检测出电网基波和各次谐波分量的幅值和相角.采样数据处理速度快,实时性好,网络不需要预先进行训练.仿真结果表明,该方法具有很好的实时性、较高的检测精度以及自适应跟踪负载电流变化的能力.
|
| 关 键 词： | 电力系统 谐波检测 Hopfield神经网络 优化算法 |
| 文章编号： | 0493-2137（2007）12-1431-05 |
| 收稿时间： | 2006-07-05 |
| 修稿时间： | 2007-09-05 |
Harmonic Current Detecting Approach Based on Hopfield Neural Network |
| |
| WANG Ping,ZOU Yu,GUO Cui-shuang.Harmonic Current Detecting Approach Based on Hopfield Neural Network[J].Journal of Tianjin University(Science and Technology),2007,40(12):1431-1435. |
| |
| Authors: | WANG Ping ZOU Yu GUO Cui-shuang |
| |
| Abstract: | Based on brief comparison among various methods for harmonic current detection,an adaptive approach for detecting harmonic current based on Hopfield neural network(HNN)was proposed in the paper.The HNN optimum theory was applied to determine the amplitude and phase of the fundamental wave and each harmonic component in real time.The speed of detection was excellent and preliminary training was not needed.Simulation results show the accuracy and practicability of the approach and the ability of adaptive change with load current. |
| |
| Keywords: | power system harmonic detection Hopfield neural network optimum algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
