Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89959
PIRA download icon_1.1View/Download Full Text
Title: A strengthened mixed-integer linear programming formulation for combined-cycle units
Authors: Fan, L
Pan, K 
Guan, Y
Issue Date: 16-Jun-2019
Source: European journal of operational research, 16 June 2019, v. 275, no. 3, p. 865-881
Abstract: Due to increased utilization of gas-fired combined-cycle units for electric power generation in the U.S., accurate and computationally efficient models for operating these units are crucial to keep an electricity system reliable. The recently proposed edge-based formulation for combined-cycle units helps accurately describe the operations of combined-cycle units by capturing the state transition processes and physical constraints for each turbine. In this paper, we derive tighter constraints and several families of strong valid inequalities to strengthen the edge-based model and improve its computational efficiency by exploring the physical characteristics of combined-cycle units and utilizing the edge-based modeling framework. Meanwhile, we provide the validity and facet-defining proofs for certain inequalities. Finally, the computational results indicate that our derived formulation significantly reduces the computational time, which verifies the effectiveness of proposed tighter constraints and strong valid inequalities.
Keywords: Combined-cycle units
OR in energy
Strong mixed-integer linear Programming (MILP) formulation
Strong valid inequalities
Unit commitment
Publisher: Elsevier
Journal: European journal of operational research 
ISSN: 0377-2217
EISSN: 1872-6860
DOI: 10.1016/j.ejor.2018.12.020
Rights: © 2018 Elsevier B.V. All rights reserved.
© 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
a0791-n01_1686.pdfPre-Published version1.22 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

42
Last Week
0
Last month
Citations as of Apr 28, 2024

Downloads

20
Citations as of Apr 28, 2024

SCOPUSTM   
Citations

13
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

11
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.