Modeling approaches for computational cost reduction in stochastic unit commitment formulations

Pablo A. Ruiz, C. Russ Philbrick, Peter W. Sauer

Research output: Contribution to journalArticlepeer-review

Abstract

Although stochastic commitment policies provide robust and efficient solutions, they have high computational costs. This letter considers two modeling approaches for the reduction of their computational effort: the relaxation of the integrality constraint of fast-start units, and the modeling of generation outages as load increments. These approaches are shown to reduce the computational cost while maintaining the good properties of stochastic policies.

Original languageEnglish (US)
Article number5350437
Pages (from-to)588-589
Number of pages2
JournalIEEE Transactions on Power Systems
Volume25
Issue number1
DOIs
StatePublished - Feb 2010

Keywords

  • Stochastic programming
  • Unit commitment

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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