Robust mid-term power generation management

V. Guigues, R. Aid, P. M. Ndiaye, F. Oustry, F. Romanet

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

We consider robust formulations of the mid-term optimal power management problem. For this type of problems, classical approaches minimize the expected generation cost over a horizon of 1 year, and model the uncertain future by means of scenario trees. In this setting, extreme scenarios-with low probability in the scenario tree-may fail to be well represented. More precisely, when extreme events occur strategies devised with the classical approach can result in significant financial losses. By contrast, robust techniques can handle well extreme cases. We consider two robust formulations that preserve the separable structure of the original problem, a fundamental issue when solving real-life problems. Numerical results assess the validity and practicality of the approaches.

Original languageEnglish
Pages (from-to)351-371
Number of pages21
JournalOptimization
Volume58
Issue number3
DOIs
StatePublished - Apr 2009

Keywords

  • Duality and space decomposition
  • Electricity power management
  • Robust counterpart
  • Stochastic optimization

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