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Denoising of power quality disturbance based on self-adapting neural fuzzy control

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成果类型:
期刊论文
作者:
Jiasheng, Li;Weichu, Xiao;Xuejun, Zhang;Wenguo, Li;Saichun, Hu
通讯作者:
Jiasheng, L.
作者机构:
[Xuejun, Zhang; Wenguo, Li; Jiasheng, Li; Saichun, Hu; Weichu, Xiao] College of Communication and Electronic Engineering, Hunan City University, Yiyang, Hunan, 413000, China
通讯机构:
College of Communication and Electronic Engineering, Hunan City University, China
语种:
英文
关键词:
Colored noise;Disturbance;Power quality;Self-adapting neural;Wavelet transform
期刊:
Information Technology Journal
ISSN:
1812-5638
年:
2012
卷:
11
期:
11
页码:
1632-1637
机构署名:
本校为第一且通讯机构
院系归属:
信息与电子工程学院
摘要:
In order to increase the accuracy ofpower quality disturbance detection in noising environment, this study puts forward a denoising algorithm ofpower quality distu?bance based on self-adapting to neutral fuzzy control. It establishes a structure with double-input and single-output neural network fuzzy system. Meanwhile, it presents the principle of denoising and makes a simulation analysis on disturbance circumstances with colored noise such as harmonic wave, voltage sag, voltage swell, voltage interruption etc. The results indicate that the proposed algorithm can well remove the signal-distur...

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