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Power quality event detection using Adaline

delete2003-02-01
delete43
PRE
AI
T
T.K. Abdel-Galil
E
Ehab F. El‐Saadany *
M
M.M.A. Salama
DOI：10.1016/S0378-7796(02)00173-6delete
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摘要

摘要

En 中文
Vast spread of sensitive loads in power systems results in increasing susceptibility to power quality problems, which makes fast detection and classification algorithms a necessity. A new approach for power quality event detection is presented in this paper. This approach utilizes linear adaptive neuron, which is called Adaline. Unlike the previously proposed detection methods, which are based on wavelet analysis that encounter mathematical calculations burden, Adaline is fast due to its simple construction, which makes it more suitable for on-line applications. (C) 2002 Elsevier Science B.V. All rights reserved.
Keyword:
artificial neural network
capacitor switching
harmonic distortion
sag
identification techniques
power industry
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期刊

Electric Power Systems Research 封面图
Electric Power Systems Research
IF:
4.2
论文数:
1.2W
被引数:
2.2W

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