DocumentCode
764186
Title
Enhanced techniques on sequential unit commitment with interchange transactions
Author
Fan, J.Y. ; Zhang, L. ; McDonald, J.D.
Author_Institution
Advance Control Syst. Inc., Atlanta, GA, USA
Volume
11
Issue
1
fYear
1996
fDate
2/1/1996 12:00:00 AM
Firstpage
93
Lastpage
100
Abstract
This paper presents two enhanced techniques for improving the solution optimality and computation performance of the sequential unit commitment (SC) method with interchange transactions. The conventional SC method, although often presenting superior performance over other methods, can lead to nonnear-optimal solutions in some circumstances due to the use of a local decision scheme to identify the best unit to be committed at each stage. The proposed technique, instead, uses a global-like decision scheme. It defines a small set of locally advantageous units which are individually examined globally by generating tentative commitment schedules to identify the globally best unit to commit at each stage. Studies have shown that the global-like decision scheme can effectively improve the solution optimality. Meanwhile, while an interchange transaction is incorporated with the unit commitment study, the constant transaction price often causes solution oscillation during iterations. A varying-λ technique is proposed in this paper. This technique properly models the impact of the interchange transactions on the power system hourly energy prices and, hence, successfully overcomes the oscillation problem such that the loading level of a transaction can be optimally determined similarly as for a generating unit
Keywords
economics; load dispatching; load distribution; optimisation; power system analysis computing; power system planning; tariffs; CPU time; computation performance; computer simulation; constant transaction price; global-like decision scheme; interchange transactions; planning; power system hourly energy prices; sequential unit commitment; solution optimality; tentative commitment schedules; varying-λ technique; Approximation methods; Control systems; Costs; Dynamic programming; Lagrangian functions; Large-scale systems; Maintenance engineering; Power engineering and energy; Power systems; Senior members;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.485990
Filename
485990
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