Tight and Compact MIP Formulation of Configuration-Based Combined-Cycle Units

German Morales-Espana, Carlos M. Correa-Posada, Andres Ramos

Research output: Contribution to journalArticleScientificpeer-review

51 Citations (Scopus)

Abstract

Private investors, flexibility, efficiency and environmental requirements from deregulated markets have led the existence and building of a significant number of combined-cycle gas turbines (CCGTs) in many power systems. These plants represent a complex optimization problem for the short-term planning unit commitment (UC) carried out by independent system operators due to their multiple operating configurations. Accordingly, this paper proposes a mixed-integer linear programming (MIP) formulation of the configuration-based model of CCGTs, which is commonly utilized for bid/offering market processes. This formulation is simultaneously tighter and more compact than analogous MIP-based models; hence, it presents a lower computational burden. The computational efficiency of the proposed formulation is demonstrated by solving network-constrained UC case studies, of different size and complexity, using three of the leading commercial MIP solvers: CPLEX, GUROBI, and XPRESS.

Original languageEnglish
Pages (from-to)1350-1359
Number of pages10
JournalIEEE Transactions on Power Systems
Volume31
Issue number2
DOIs
Publication statusPublished - 7 May 2015

Keywords

  • Combined cycle unit
  • mixed-integer linear programming (MIP)
  • tight MIP formulation
  • unit commitment

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