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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12546

Title: Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer
Authors: Talaat, H.E.A.
Abdennour, A.
Al-Sulaiman, A.A.
Keywords: Decentralized control; Genetic Algorithms; Multi-machine lab model; Neuro-fuzzy control; Power system stabilizer
Issue Date: 2010
Publisher: IEEE
Citation: International Journal of Electrical Power and Energy Systems Volume 32, Issue 7, September 2010, Pages 751-759
Abstract: The aim of this research is the design and implementation of a decentralized power system stabilizer (PSS) capable of performing well for a wide range of variations in system parameters and/or loading conditions. The framework of the design is based on Fuzzy Logic Control (FLC). In particular, the neuro-fuzzy control rules are derived from training three classical PSSs; each is tuned using GA so as to perform optimally at one operating point. The effectiveness and robustness of the designed stabilizer, after implementing it to the laboratory model, is investigated. The results of real-time implementation prove that the proposed PSS offers a superior performance in comparison with the conventional stabilizer. © 2010 Elsevier Ltd. All rights reserved.
URI: http://hdl.handle.net/123456789/12546
ISSN: 01420615
Appears in Collections:College of Engineering

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