[1] Changsha Univ Sci & Technol, Coll Elect & Informat Engn, Changsha 410004, Hunan, Peoples R China
来源:
PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE
|
2010年
关键词:
Harmonic Measurement;
Inter-harmonics;
Neural Network;
Asynchronous Sampling;
STANDARD FRAMEWORK;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
A neural network approach (NNA) was proposed for estimating accurately harmonics and inter-harmonics parameters fromthe signals in power systems. It is aimed at the systemin which the sampling frequency cannot be locked on the actual fundamental frequency. By training the frequencies, magnitudes and phases of the fundamental wave, the harmonics and the inter-harmonics based on the NNA, an accurate harmonics and inter-harmonics measurement result can be obtained as the algorithmconverge. The simulating result shows that the estimated harmonics and inter-harmonics parameters can be measured at accuracy of 99.995% under actual fundamental frequency varying from 49.5 to 50.5 Hz.