Post-processing of economic dispatch solutions for security enhancement based on approximate reasoning

In this paper, the authors present an approach to enhance the security of power systems by supplementing conventional economic dispatch solutions for less branch overload in case of contingencies. The supplementary control adjustment is determined by approximate reasoning based on qualitative rules...

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Bibliographic Details
Published inIEEE transactions on power systems Vol. 11; no. 2; pp. 982 - 988
Main Authors Niimura, T., Yokoyama, R.
Format Journal Article Conference Proceeding
LanguageEnglish
Published New York, NY IEEE 01.05.1996
Institute of Electrical and Electronics Engineers
Subjects
Applied sciences
Electrical engineering. Electrical power engineering
Electrical power engineering
Exact sciences and technology
Fuzzy sets
Operation. Load control. Reliability
Power generation dispatch
Power generation economics
Power networks and lines
Power supplies
Power system economics
Power system security
Operating reliability
Load control
Approximate method
Overload
Reasoning
Power flow
Demand forecasting
Economic optimization
Electric power production
Fuzzy set
Load flow
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Summary:In this paper, the authors present an approach to enhance the security of power systems by supplementing conventional economic dispatch solutions for less branch overload in case of contingencies. The supplementary control adjustment is determined by approximate reasoning based on qualitative rules and linguistic fuzzy sets. Fuzzy sets and reasoning procedure are defined for effective security enhancement of real power generation. Numerical examples prove that this approach efficiently produces more secure conditions against branch overload.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0885-8950
1558-0679
DOI:10.1109/59.496184