Return
A robust unit commitment algorithm for hydro-thermal optimization
DOI:10.1109/59.709098.png)
Abstract
En 中文
This paper presents a unit commitment algorithm which combines the Lagrangian Relaxation (LR), Sequential Unit Commitment (SUC), and Optimal Unit Decommitment (UD) methods to solve a general Hydro-Thermal Optimization (HTO) problem. We argue that this approach retains the advantages of the LR method while addressing the method's observed weaknesses to improve overall algorithm performance and quality of solution. The proposed approach has been implemented in a version of PG&E's HTO program, and test results are presented.
Keywords:
large scale hydro-thermal optimization
thermal unit commitment
thermal unit decommitment
dynamic programming
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W
Organization
No organization information available

