Robust unit commitment with wind power and pumped storage hydro

Ruiwei Jiang, Jianhui Wang, Yongpei Guan

Research output: Contribution to journalArticle

619 Scopus citations

Abstract

As renewable energy increasingly penetrates into power grid systems, new challenges arise for system operators to keep the systems reliable under uncertain circumstances, while ensuring high utilization of renewable energy. With the naturally intermittent renewable energy, such as wind energy, playing more important roles, system robustness becomes a must. In this paper, we propose a robust optimization approach to accommodate wind output uncertainty, with the objective of providing a robust unit commitment schedule for the thermal generators in the day-ahead market that minimizes the total cost under the worst wind power output scenario. Robust optimization models the randomness using an uncertainty set which includes the worst-case scenario, and protects this scenario under the minimal increment of costs. In our approach, the power system will be more reliable because the worst-case scenario has been considered. In addition, we introduce a variable to control the conservatism of our model, by which we can avoid over-protection. By considering pumped-storage units, the total cost is reduced significantly.

Original languageEnglish (US)
Article number6069602
Pages (from-to)800-810
Number of pages11
JournalIEEE Transactions on Power Systems
Volume27
Issue number2
DOIs
StatePublished - May 1 2012

Keywords

  • Generation scheduling
  • pumped-storage
  • robust optimization
  • wind uncertainty

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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