articleIEEE Transactions on Power SystemsAug 3, 2011Closed access

A Chance-Constrained Two-Stage Stochastic Program for Unit Commitment With Uncertain Wind Power Output

University of Florida · Argonne National Laboratory

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Abstract

In this paper, we present a unit commitment problem with uncertain wind power output. The problem is formulated as a chance-constrained two-stage (CCTS) stochastic program. Our model ensures that, with high probability, a large portion of the wind power output at each operating hour will be utilized. The proposed model includes both the two-stage stochastic program and the chance-constrained stochastic program features. These types of problems are challenging and have never been studied together before, even though the algorithms for the two-stage stochastic program and the chance-constrained stochastic program have been recently developed separately. In this paper, a combined sample average approximation…

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Authors

3

Topics & keywords

Keywords
  • Mathematical optimization
  • Power system simulation
  • Wind power
  • Stochastic optimization
  • Convergence (economics)
  • Computer science
  • Stochastic process
  • Stochastic programming
UN Sustainable Development Goals
  • Affordable and clean energy
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