Please use this identifier to cite or link to this item: https://doi.org/10.1049/ip-gtd:19941134
DC FieldValue
dc.titleModel-based fuzzy control of power system static/dynamic security using the pattern recognition approach
dc.contributor.authorChang, C.S.
dc.date.accessioned2014-10-07T03:00:42Z
dc.date.available2014-10-07T03:00:42Z
dc.date.issued1994-07
dc.identifier.citationChang, C.S. (1994-07). Model-based fuzzy control of power system static/dynamic security using the pattern recognition approach. IEE Proceedings: Generation, Transmission and Distribution 141 (4) : 270-278. ScholarBank@NUS Repository. https://doi.org/10.1049/ip-gtd:19941134
dc.identifier.issn13502360
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/80731
dc.description.abstractUsing databases derived from the pattern recognition approach, the paper presents a methodology for utilising fuzzy models to enhance the quality of decision-making using fuzzy-logic algorithms. In the paper, two multi-objective fuzzy-logic control algorithms for controlling power system static/dynamic security are presented and analysed. The first algorithm is based on the successive inferences of fuzzy implication rules for each individual objective, and the second algorithm is an application of the method of fuzzy linear programming. Using results from these algorithms, the paper discusses the properties, advantages and limitations of applying fuzzy decision-making logic in the pattern-recognition approach and concludes by highlighting potential areas for further development.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1049/ip-gtd:19941134
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.doi10.1049/ip-gtd:19941134
dc.description.sourcetitleIEE Proceedings: Generation, Transmission and Distribution
dc.description.volume141
dc.description.issue4
dc.description.page270-278
dc.description.codenIGTDE
dc.identifier.isiutA1994PD93500003
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.