Applying stochastic programming to the unit commitment problem

Pablo A. Ruiz, C. Russ Philbrick, Eugene Zak, Kwok W. Cheung, Peter W. Sauer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multi-stage decision making, a fundamental tenet of stochastic programming, resonates well with the practice of the electricity markets. The day-ahead market, used to commit the generators, bears uncertainty in the power demand and physical conditions of the generators and transmission lines. The situation becomes less uncertain in the real-time market, where the dispatch is decided. Although traditional approaches such as operating reserve requirements have been effectively employed to ensure reliable system operations, the incorporation of stochastic methods offer the potential for superior solutions.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2008
Pages151-156
Number of pages6
StatePublished - Dec 1 2008
Event10th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2008 - Rincon, Puerto Rico
Duration: May 25 2008May 29 2008

Publication series

NameProceedings of the 10th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2008

Other

Other10th International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2008
CountryPuerto Rico
CityRincon
Period5/25/085/29/08

Keywords

  • Economic dispatch
  • Monte-carlo simulation
  • Operating reserve
  • Optimization
  • Reliability
  • Stochastic programming
  • Unit commitment

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Energy Engineering and Power Technology

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