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

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  • Model Reduction Method Preserving the Steady-State Gain and Its Application to Electric Power Systems
  • テイジョウ ゲイン オ コウリョ シタ モデル テイジゲンカ シュホウ ト ソノ デンリョク ケイトウシュクヤク エ ノ オウヨウ

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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. 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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