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. The authors 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.
C. Li et al., "A Robust Unit Commitment Algorithm for Hydro-Thermal Optimization," Proceedings of the 20th International Conference on Power Industry Computer Applications (1997, Columbus, OH), Institute of Electrical and Electronics Engineers (IEEE), May 1997.
The definitive version is available at https://doi.org/10.1109/PICA.1997.599395
20th International Conference on Power Industry Computer Applications (1997: May 11-16, Columbus, OH)
Engineering Management and Systems Engineering
Keywords and Phrases
Lagrangian Relaxation; Algorithm Performance; Control System Synthesis; Dynamic Programming; Electric Utilities; Hydro-Thermal Power System Optimization; Hydrothermal Power Systems; Load Dispatching; Load Distribution; Optimal Control; Optimal Unit Decommitment; Power System Control; Robust Control; Robust Unit Commitment Algorithm; Sequential Unit Commitment
International Standard Book Number (ISBN)
Article - Conference proceedings
© 1997 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.