Wind power day-ahead uncertainty management through stochastic unit commitment policies

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

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

Abstract

Day-ahead uncertainty management in power systems has traditionally been approached by means of multistage decision making and operating reserve requirements. An alternate approach for managing uncertainty is a stochastic formulation,which allows the explicit modeling of the sources of uncertainty. The large investments in wind power has increased the importance of operations uncertainty management due to the considerable operational uncertainty wind plants have. This paper evaluates the benefits of a combined approach that uses stochastic and reserve methods for the efficient management of uncertainty in the unit commitment problem for systems with significant amount of wind power. Numerical studies on a model of the PSCo system show that the unit commitment solutions obtained for the combined approach are robust and superior with respect to the traditional approach in terms of economic metrics and curtailed wind power.

Original languageEnglish (US)
Title of host publication2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
DOIs
StatePublished - 2009
Event2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009 - Seattle, WA, United States
Duration: Mar 15 2009Mar 18 2009

Publication series

Name2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009

Other

Other2009 IEEE/PES Power Systems Conference and Exposition, PSCE 2009
Country/TerritoryUnited States
CitySeattle, WA
Period3/15/093/18/09

Keywords

  • Economic dispatch
  • Monte-Carlo simulation
  • Operating reserve
  • Reliability
  • Stochastic programming
  • Unit commitment
  • Wind power

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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