Risk based robust Model Predictive Control and its application to power plant optimal scheduling

Yutaka Iino*

*この研究の対応する著者

研究成果: Paper査読

1 被引用数 (Scopus)

抄録

This paper proposes a Model Predictive Control method with stochastic set point and cost parameters. It is applicable to optimal scheduling and load dispatching problem with multiple unit systems such as group control of distributed electric generators. "Value at Risk" type constraint condition, which means a worst-case index, is introduced to realize robustness of optimization against random parameters. Additionally a computation reduction method using orthogonal matrix is newly applied. An example for power system schedule optimization problem is evaluated to show the effectiveness of the proposed method.

本文言語English
ページ1215-1218
ページ数4
出版ステータスPublished - 2005 12月 1
外部発表はい
イベントSICE Annual Conference 2005 - Okayama, Japan
継続期間: 2005 8月 82005 8月 10

Conference

ConferenceSICE Annual Conference 2005
国/地域Japan
CityOkayama
Period05/8/805/8/10

ASJC Scopus subject areas

  • 制御およびシステム工学
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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