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.
C. Li et al., "A Robust Unit Commitment Algorithm for Hydro-Thermal Optimization," Institute of Electrical and Electronics Engineers (IEEE), Jan 1998.
The definitive version is available at http://dx.doi.org/10.1109/PICA.1997.599395
Engineering Management and Systems Engineering
Keywords and Phrases
Lagrangian Relaxation; Algorithm Performance; Dynamic Programming; Hydro-Thermal Optimization; Hydrothermal Power Systems; Optimal Unit Decommitment; Robust Unit Commitment Algorithm; Scheduling; Sequential Unit Commitment; Solution Quality; Unit Schedules
International Standard Serial Number (ISSN)
Article - Journal
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