Abstract

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.

Department(s)

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)

0885-8950

Document Type

Article - Journal

Document Version

Final Version

File Type

text

Language(s)

English

Rights

© 1998 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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