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 language | English |
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Pages (from-to) | 1350-1359 |
Number of pages | 10 |
Journal | IEEE Transactions on Power Systems |
Volume | 31 |
Issue number | 2 |
DOIs | |
Publication status | Published - 7 May 2015 |
Keywords
- Combined cycle unit
- mixed-integer linear programming (MIP)
- tight MIP formulation
- unit commitment