定常ゲインを考慮したモデル低次元化手法とその電力系統縮約への応用

丈 桑原; 琢磨 細川; 義雄 蛯原; 朋道 萩原; 靖夫 森岡

doi:10.5687/iscie.16.476

定常ゲインを考慮したモデル低次元化手法とその電力系統縮約への応用

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

桑原丈, 細川琢磨, 蛯原義雄, 萩原朋道, 森岡靖夫

Section of Measurement and Control Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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. Taking account of the steady-state gain leads to decreasing the integrated square error between the step response of the original system and that of the reduced order system. The proposed method is applied to the reduction of the model of a multi-machine electric power system to demonstrate its effectiveness.

Translated title of the contribution	Model Reduction Method Preserving the Steady-State Gain and Its Application to Electric Power Systems
Original language	Japanese
Pages (from-to)	476-483
Number of pages	8
Journal	システム制御情報学会論文誌
Volume	16
Issue number	9
DOIs	https://doi.org/10.5687/iscie.16.476
Publication status	Published - Sep 15 2003

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abstract = "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. Taking account of the steady-state gain leads to decreasing the integrated square error between the step response of the original system and that of the reduced order system. The proposed method is applied to the reduction of the model of a multi-machine electric power system to demonstrate its effectiveness.",

author = "丈桑原 and 琢磨細川 and 義雄蛯原 and 朋道萩原 and 靖夫森岡",

year = "2003",

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AU - 桑原, 丈

AU - 細川, 琢磨

AU - 蛯原, 義雄

AU - 萩原, 朋道

AU - 森岡, 靖夫

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AB - 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. Taking account of the steady-state gain leads to decreasing the integrated square error between the step response of the original system and that of the reduced order system. The proposed method is applied to the reduction of the model of a multi-machine electric power system to demonstrate its effectiveness.

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M3 - 学術誌

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定常ゲインを考慮したモデル低次元化手法とその電力系統縮約への応用

Abstract

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