EconPapers    
Economics at your fingertips  
 

Solving the Unit Commitment Problem by a Unit Decommitment Method

C. L. Tseng, C. A. Li and S. S. Oren
Additional contact information
C. L. Tseng: University of Maryland
C. A. Li: Pacific Gas and Electric Company
S. S. Oren: University of California at Berkeley

Journal of Optimization Theory and Applications, 2000, vol. 105, issue 3, No 13, 707-730

Abstract: Abstract In this paper, we present a unified decommitment method to solve the unit commitment problem. This method starts with a solution having all available units online at all hours in the planning horizon and determines an optimal strategy for decommitting units one at a time. We show that the proposed method may be viewed as an approximate implementation of the Lagrangian relaxation approach and that the number of iterations is bounded by the number of units. Numerical tests suggest that the proposed method is a reliable, efficient, and robust approach for solving the unit commitment problem.

Keywords: power system scheduling; unit commitment; unit decommitment; mixed-integer programming; Lagrangian relaxation; heuristic procedures (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1023/A:1004653526131 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:105:y:2000:i:3:d:10.1023_a:1004653526131

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1023/A:1004653526131

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:105:y:2000:i:3:d:10.1023_a:1004653526131