Generalization of transient stability solution using neural network theory

Katsumi Ikenono*, Shinichi Iwamoto

*この研究の対応する著者

    研究成果: Article査読

    1 被引用数 (Scopus)

    抄録

    This paper presents a generalized online transient stability solution technique using the backpropagation method of the neural network theory. The proposed solution technique can be used for general generator models, including controllers such as AVRs and governors, that have been difficult for the energy function method to handle. The proposed method also considers alterations of network configurations and changes of the number of operating generators. Further, the relationship between input data and effects on the results of the neural network is considered.

    本文言語English
    ページ(範囲)72-79
    ページ数8
    ジャーナルElectrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi)
    112
    3
    DOI
    出版ステータスPublished - 1992

    ASJC Scopus subject areas

    • エネルギー工学および電力技術
    • 電子工学および電気工学

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