DocumentCode :
647656
Title :
A new method of solving the unit commitment problem
Author :
Xian Liu
Author_Institution :
Dept. of Syst. Eng., Univ. of Arkansas at Little Rock, Little Rock, AR, USA
fYear :
2013
fDate :
21-25 July 2013
Firstpage :
1
Lastpage :
5
Abstract :
Unit commitment (UC) is a fundamental problem in power systems and has been extensively investigated by many researchers. However, almost all existing approaches are based on integer decision variables. In this paper, we propose an alternative approach, in which the continuous variables (real output power) are the only decision variables. This approach is based on a simple theoretical result, for which a proof is given. Then a new model is presented, followed by several 24-dimensional and 96-dimensional test cases. The results are consistent with those solved by conventional approaches reported in the literature.
Keywords :
dynamic programming; integer programming; power generation scheduling; 24-dimensional test cases; 96-dimensional test cases; Lagrangian relaxation; continuous variables; decision variables; dynamic programming; integer decision variables; integer programming; power systems; unit commitment problem; Computer aided software engineering; Economics; Mathematical model; Numerical models; Optimization; Particle swarm optimization; Power systems; Generator scheduling; integer programming; optimization; unit commitment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
ISSN :
1944-9925
Type :
conf
DOI :
10.1109/PESMG.2013.6672177
Filename :
6672177
Link To Document :
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