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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:
[Jiasheng, L.] C
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 pr...

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