Contingency-constrained unit commitment with post-contingency corrective recourse
Affiliation
Department of Systems and Industrial Engineering, University of ArizonaIssue Date
2014-12-05Keywords
Integer programmingBi-level programming
Benders decomposition
Unit commitment
Contingency constraints
Metadata
Show full item recordPublisher
SPRINGERCitation
Contingency-constrained unit commitment with post-contingency corrective recourse 2014, 249 (1-2):381 Annals of Operations ResearchJournal
Annals of Operations ResearchRights
© Springer Science+Business Media New York 2014.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
We consider the problem of minimizing costs in the generation unit commitment problem, a cornerstone in electric power system operations, while enforcing an -- reliability criterion. This reliability criterion is a generalization of the well-known - criterion and dictates that at least fraction of the total system demand (for ) must be met following the failure of or fewer system components. We refer to this problem as the contingency-constrained unit commitment problem, or CCUC. We present a mixed-integer programming formulation of the CCUC that accounts for both transmission and generation element failures. We propose novel cutting plane algorithms that avoid the need to explicitly consider an exponential number of contingencies. Computational studies are performed on several IEEE test systems and a simplified model of the Western US interconnection network. These studies demonstrate the effectiveness of our proposed methods relative to current state-of-the-art.Note
12 month embargo; First Online: 05 December 2014ISSN
0254-53301572-9338
Version
Final accepted manuscriptSponsors
Sandia National Laboratories' Laboratory-Directed Research and Development Program; U.S. Department of Energy's Office of Science (Advanced Scientific Computing Research program); U.S. Department of Energy's National Nuclear Security Administration [DE-AC04-94AL85000]Additional Links
http://link.springer.com/10.1007/s10479-014-1760-xae974a485f413a2113503eed53cd6c53
10.1007/s10479-014-1760-x