Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/46233

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Title:	Neuro-fuzzy networks for voltage security monitoring based on synchronized phasor measurements
Authors:	Liu, Chih-wen;Chang, Chen-sung;蘇木春;Su, Mu-chun
Contributors:	淡江大學電機工程學系
Date:	1998-05
Issue Date:	2010-03-26 21:28:39 (UTC+8)
Publisher:	Piscataway: Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	The ability to rapidly acquire synchronized phasor measurements from around a power network opens up new possibilities for power system operation and control. A novel neuro-fuzzy network, the fuzzy hyperrectangular composite neural network, is proposed for voltage security monitoring (VSM) using synchronized phasor measurements as input patterns. This paper demonstrates how neuro-fuzzy networks can be constructed offline and then utilized online for monitoring voltage security. The neuro-fuzzy network is tested on 3000 simulated data from randomly generated operating conditions on the IEEE 30-bus system to indicate its high classification rate for voltage security monitoring
Relation:	IEEE Transactions on Power Systems 13(2), pp.326-332
DOI:	10.1109/59.667346
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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