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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46233


    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:[電機工程學系暨研究所] 期刊論文

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