A Multiple Criteria Decision-Making Knowledge-Based Scheme for Real-Time Power Voltage Control

A new real-time power voltage control strategy is proposed in this paper. This scheme utilizes a novel offline evolutionary multiobjective optimization algorithm called jumping genes for generating the widespread control solutions and be readily stored into a knowledge data base. A separate online m...

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Bibliographic Details
Published inIEEE transactions on industrial informatics Vol. 4; no. 1; pp. 58 - 66
Main Authors Ma, H.M., Kai-tat Ng, Man, K.F.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 01.02.2008
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Coordinated voltage control
Costs
Criteria
Decision making
Electric potential
evolutionary algorithm
Evolutionary computation
jumping genes
Large-scale systems
multiple criteria decision making
On-line systems
Power generation economics
Power system control
Power system interconnection
Power system stability
Power systems
Real time
Strategy
Voltage
Voltage control
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Summary:A new real-time power voltage control strategy is proposed in this paper. This scheme utilizes a novel offline evolutionary multiobjective optimization algorithm called jumping genes for generating the widespread control solutions and be readily stored into a knowledge data base. A separate online multiple criteria decision-making scheme is established for selecting the appropriate control solution. This concept of power voltage control has been demonstrated by the New England 39-bus power system. The system output performance was speedy and accurate.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2008.919320