DocumentCode :
1205046
Title :
Optimal generation scheduling based on AHP/ANP
Author :
Momoh, James A. ; Zhu, Jizhong
Author_Institution :
Dept. of Electr. Eng., Howard Univ., Washington, DC, USA
Volume :
33
Issue :
3
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
531
Lastpage :
535
Abstract :
This paper proposes an application of the analytic hierarchy process (AHP) and analytic network process (ANP) for enhancing the selection of generating power units for appropriate price allocation in a competitive power environment. The scheme addresses adequate ranking, prioritizing, and scheduling of units before optimizing the pricing of generation units to meet a given demand. In the deregulated environment, the classical optimization techniques will be insufficient for the above-mentioned purpose. Hence, by incorporating the interaction of factors such as load demand, generating cost curve, bid/sale price, unit up/down cost, and the relative importance of different generation units, the scheme can be implemented to address the technical and nontechnical constraints in unit commitment problems. This information is easily augmented with the optimization scheme for an effective optimal decision. The scheme proposed is tested using the IEEE 39-bus test system.
Keywords :
decision making; electricity supply industry deregulation; optimisation; power generation scheduling; IEEE 39-bus test system; analytic hierarchy process; analytic network process; bid/sale price; competitive power environment; deregulated environment; generating cost curve; generating power units; load demand; optimal decision; optimal generation scheduling; price allocation; prioritizing; ranking; unit commitment problems; unit up/down cost; Costs; Job shop scheduling; Lagrangian functions; Marketing and sales; Power generation; Power industry; Power system planning; Power transmission lines; Pricing; System testing;
fLanguage :
English
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
1083-4419
Type :
jour
DOI :
10.1109/TSMCB.2003.811122
Filename :
1200176
Link To Document :
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