DocumentCode
1661730
Title
A neuro-fuzzy method of power disturbances recognition and reduction
Author
Reznik, Leon ; Negnevitsky, Michael
Author_Institution
Sch. of Commun. & Informatics, Victoria Univ., Melbourne, Vic., Australia
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1517
Lastpage
1522
Abstract
The paper combines two major neuro-fuzzy applications in power engineering: stabilizing power systems at a generation stage and reducing disturbances at a delivery stage. It presents a neural-fuzzy classifier for recognition of power disturbances and a fuzzy excitation controller comprising both the exciter and the power system stabilizer
Keywords
exciters; fuzzy control; fuzzy set theory; neural nets; pattern classification; power generation control; power system stability; exciter; fuzzy control; fuzzy excitation controller; generation stage; neural-fuzzy classifier; pattern recognition; power disturbance reduction; power system stabiliser; power system stability; Australia; Control systems; Frequency; Monitoring; Power engineering; Power generation; Power quality; Power system harmonics; Power systems; Steady-state;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1006731
Filename
1006731
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