DocumentCode
1361160
Title
A stochastic model for the unit commitment problem
Author
Takriti, Samer ; Birge, John R. ; Long, Erik
Author_Institution
Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA
Volume
11
Issue
3
fYear
1996
fDate
8/1/1996 12:00:00 AM
Firstpage
1497
Lastpage
1508
Abstract
The authors develop a model and a solution technique for the problem of generating electric power when demands are not certain. They also provide techniques for improving the current methods used in solving the traditional unit commitment problem. The solution strategy can be run in parallel due to the separable nature of the relaxation used. Numerical results indicate significant savings in the cost of operating power generating systems when the stochastic model is used instead of the deterministic model
Keywords
load dispatching; load distribution; power system analysis computing; power system planning; stochastic processes; computer simulation; deterministic model; electric power generation; operating cost; power generating systems; relaxation; stochastic model; unit commitment problem; Cost function; Dynamic programming; Lagrangian functions; Optimal scheduling; Power engineering and energy; Power generation; Power system dynamics; Power system modeling; Stochastic processes; Stochastic systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.535691
Filename
535691
Link To Document