Fuzzy logic power system stabilizer based on genetically optimized adaptive network

✍ Scribed by A. Hariri; O.P. Malik

• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 569 KB
• Volume: 102
• Category: Article
• ISSN: 0165-0114
• DOI: 10.1016/s0165-0114(98)00200-0

✦ Synopsis

An adaptive-network-based fuzzy logic power system stabilizer (PSS) is described 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 optimize the number of rules. Details of the design process are given and the effectiveness of the proposed stabilizer is demonstrated.