|
DSpace at King Saud University >
King Saud University >
COLLEGES >
Science Colleges >
College of Engineering >
College of Engineering >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/12800
|
| 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; Design; Fuzzy control; Fuzzy logic; Genetic engineering; Real time control; Standby power systems |
| Issue Date: | 2010 |
| 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/123456789/12800 |
| ISSN: | 01420615 |
| Appears in Collections: | College of Engineering
|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
|
