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

German Morales-España (g.a.moralesespana***at***tudelft.nl)
Carlos M. Correa-Posada (alomariox***at***gmail.com)
Andres Ramos (andres.ramos***at***upcomillas.es)

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 complicated 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 supported by solving network-constrained UC case studies, of different size and complexity, using three of the leading commercial MIP solvers: CPLEX, GUROBI and XPRESS.

Keywords: Mixed-integer linear programming MIP, combined cycle unit, unit commitment, tight MIP formulation

Category 1: Applications -- OR and Management Sciences

Category 2: Integer Programming ((Mixed) Integer Linear Programming )

Citation: Working paper

Download: [Postscript][PDF]

Entry Submitted: 09/20/2014
Entry Accepted: 09/20/2014
Entry Last Modified: 02/24/2015

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