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

Translated title of the contribution: Extension of the Model Reduction Method Preserving the Steady-State Gain and Its Application to Electric Power Systems

桑原 丈, 蛯原 義雄, 萩原 朋道, 森岡 靖夫

Research output: Contribution to journalArticle

Abstract

This paper is concerned with a model reduction method taking account of the steady-state gain, while keeping the <I>H</I><SUB>∞</SUB> 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.
Translated title of the contributionExtension of the Model Reduction Method Preserving the Steady-State Gain and Its Application to Electric Power Systems
Original languageUndefined/Unknown
Pages (from-to)147-147
Number of pages1
Journalシステム制御情報学会 研究発表講演会講演論文集
Volume2
Issue number0
DOIs
Publication statusPublished - 2002

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