Summary:
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.
JCR Impact Factor and WoS quartile: 5,680 - Q1 (2016); 6,600 - Q1 (2022)
DOI reference:
https://doi.org/10.1109/TPWRS.2015.2425833
Published on paper: March 2016.
Published on-line: May 2015.
Citation:
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. Vol. 31, nº. 2, pp. 1350 - 1359, March 2016. [Online: May 2015]
