システム制御情報学会 研究発表講演会講演論文集
第46回システム制御情報学会研究発表講演会
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定常ゲインを考慮したモデル低次元化手法の拡張とその電力系統縮約への応用
桑原 丈蛯原 義雄萩原 朋道森岡 靖夫
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会議録・要旨集 フリー

p. 147

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This paper is concerned with a model reduction method taking account of the steady-state gain, while keeping the H norm of the associated error system as small as possible with the LMI optimization technique. An existing method to achieve this objective is such that only the input and output matrices are modified iteratively, and the state matrix remains unchanged. The extension of this method provided in this paper enables one to modify the state matrix as well. The method is applied to the reduction of a multi-machine electric power system to demonstrate the effectiveness of the proposed method.
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© 2002 システム制御情報学会
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