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.
Keywords: Combined cycle unit, mixed-integer linear programming (MIP), tight MIP formulation, unit commitment.
Índice de impacto JCR y cuartil WoS: 5.680 - Q1 (2016); 6.074 - Q1 (2019)
Referencia DOI: 10.1109/TPWRS.2015.2425833
Publicado en papel: Marzo 2016.
Publicado on-line: Mayo 2015.
G. Morales-España, C.M. Correa-Posada, A. Ramos. Tight and compact MIP formulation of configuration-based combined-cycle units. IEEE Transactions on Power Systems. Marzo 2016. [Online: Mayo 2015]