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

Content Provider	IEEE Xplore Digital Library
Author	Morales-Espana, G. Correa-Posada, C. M. Ramos, A.
Copyright Year	1969
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.
Sponsorship	IEEE Power Engineering Society
Starting Page	1350
Ending Page	1359
Page Count	10
File Size	1348190
File Format	PDF
ISSN	08858950
Volume Number	31
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Mathematical model Turbines Production Adaptation models Complexity theory Indexes unit commitment Combined cycle unit mixed-integer linear programming (MIP) tight MIP formulation
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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