-

 

 

 




Optimization Online





 

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

German Morales-España(german.morales***at***iit.upcomillas.es)
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 an important 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) problem carried out by system operators (ISOs) 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 significantly reduces computation times because it is simultaneously tight and compact in comparison with analogous MIP-based models. The computational efficiency of the proposed formulation is supported by solving case studies, of different size and complexity, using three of the leading commercial MIP solvers, CPLEX, GUROBI and XPRESS.

Keywords: Index Terms--- Mixed-integer linear programming MIP, combined cycle unit, configuration-based model, unit commitment, tight MIP formulation

Category 1: Applications -- OR and Management Sciences

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

Citation: Working paper, to be submitted to the IEEE transactions on Power Systems

Download: [PDF]

Entry Submitted: 09/20/2014
Entry Accepted: 10/01/2014
Entry Last Modified: 09/20/2014

Modify/Update this entry


  Visitors Authors More about us Links
  Subscribe, Unsubscribe
Digest Archive
Search, Browse the Repository

 

Submit
Update
Policies
Coordinator's Board
Classification Scheme
Credits
Give us feedback
Optimization Journals, Sites, Societies
Mathematical Optimization Society