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

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages1215-1218
Number of pages4
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 82005 Aug 10

Conference

ConferenceSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

Keywords

  • Model Predictive Control
  • Risk sensitivity
  • Stochastic cost function
  • Value at risk

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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