arrow
Return

A robust unit commitment algorithm for hydro-thermal optimization

delete1998-01-01
delete22
PRE
AI
C
Chaa-An Li
R
R Johnson
A
A.J. Svoboda
C
Chung‐Li Tseng
E
Eric Hsu
DOI:10.1109/59.709098delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

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

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Power Systems cover
IEEE Transactions on Power Systems
IF:
7.2
Papers:
1.1W
Citations:
5.0W

Organization

No organization information available