Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62422
Title: Model-based fuzzy control of power system static/dynamic security using the pattern recognition approach
Authors: Chang, C.S. 
Issue Date: Jul-1994
Citation: Chang, 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.
Abstract: Using 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.
Source Title: IEE Proceedings: Generation, Transmission and Distribution
URI: http://scholarbank.nus.edu.sg/handle/10635/62422
ISSN: 13502360
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

5
checked on Feb 27, 2018

WEB OF SCIENCETM
Citations

4
checked on Apr 30, 2018

Page view(s)

24
checked on May 5, 2018

Google ScholarTM

Check


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