Fuzzy logic power system stabilizer based on genetically optimized adaptive network

Authors
Hariri, A Malik, OP
Citation
A. Hariri et Op. Malik, Fuzzy logic power system stabilizer based on genetically optimized adaptive network, FUZ SET SYS, 102(1), 1999, pp. 31-40
Citations number
10
Categorie Soggetti
Engineering Mathematics
Journal title
FUZZY SETS AND SYSTEMS
ISSN journal
01650114 → ACNP
Volume
102
Issue
1
Year of publication
1999
Pages
31 - 40
Database
ISI
SICI code
0165-0114(19990216)102:1<31:FLPSSB>2.0.ZU;2-3
Abstract
An adaptive-network-based fuzzy logic power system stabilizer (PSS) is desc ribed here. A multi-layer adaptive network is used to design a fuzzy logic PSS with learning capability. Instead of using trial and error to find the number of inference rules, a genetic algorithm approach is employed to opti mize the number of rules. Details of the design process are given and the e ffectiveness of the proposed stabilizer is demonstrated. (C) 1999 Elsevier Science B.V. All rights reserved.