A robust unit commitment algorithm for hydro-thermal optimization

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...

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Bibliographic Details
Published in:IEEE transactions on power systems 1998-08, Vol.13 (3), p.1051-1056
Main Authors: Chaa-An Li, Johnson, R.B., Svoboda, A.J., Chung-Li Tseng, Hsu, E.
Format: Article
Language:English
Subjects:
Applied sciences
Chaos
Constraint optimization
Costs
Dynamic programming
Electric power plants
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Hydroelectric power plants
Lagrangian functions
Large-scale systems
Mathematical programming
Operational research and scientific management
Operational research. Management science
Optimization methods
Power networks and lines
Power systems
Robustness
Testing
Theory. Simulation
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Summary: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.
ISSN:0885-8950
1558-0679
DOI:10.1109/59.709098