We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Ordinal optimization theory to solve large-scale power system unit commitment.
- Authors
Xie, Min; Zhu, Yanhan; Ke, Shaojia; Du, Yuxin; Liu, Mingbo
- Abstract
The complexity of the multiperiod dynamic unit commitment problem makes it difficult or even unviable to find the global optimal solution. Ordinal optimization provides a simulation-based approach suitable for solving this kind of problem. It uses crude models and rough estimates to derive a small set of unit commitment schemes for which simulations are necessary and worthwhile to find good enough solutions with drastically reduced computational burden. The 10-100 thermal units standard test example and the case of an actual provincial power system with 128 units verify the feasibility of ordinal optimization to solve the large-scale dynamic unit commitment problem. © 2017 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
- Subjects
MATHEMATICAL optimization; SCHEMES (Algebraic geometry); COMPUTATIONAL complexity; ORDINAL measurement; NEURAL circuitry
- Publication
IEEJ Transactions on Electrical & Electronic Engineering, 2018, Vol 13, Issue 2, p187
- ISSN
1931-4973
- Publication type
Article
- DOI
10.1002/tee.22513