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Using integer programming to refine Lagrangian-based unit commitment solutions
DOI:10.1109/59.852114.png)
Abstract
En 中文
We develop a technique for refining the unit commitment solution obtained from solving the Lagrangian. Our model is an integer program with nonlinear constraints. It can be solved to optimality using branch-and-bound. Numerical results indicate a significant improvement in the quality of the solution obtained.
Keywords:
branch-and-bound
dynamic programming
Lagrangian relaxation
mixed-integer programming
unit commitment
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.5W
Organization
No organization information available
Cited Papers
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Nature
IF48.5

