Design and experimental investigation of a decentralized GA-optimized neuro-fuzzy power system stabilizer

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12 Δεκ 2012 (πριν από 4 χρόνια και 9 μήνες)

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Eng
-
Ele
-
Hossam E.A. Talaat
-
1

Title

Design and experimental investigation of a decentralized GA
-
optimized
neuro
-
fuzzy power system stabilizer

Author
-
s

Talaat, H.E.A.
,
Abdennour, A.
,
Al
-
Sulaiman, A.A.

Contact lnfo

Dr
-

Hossam E.A. Talaat



Electrical Engineering Department

College of Engineering, King Saud University, P.O.Box 800,

Riyadh 11421, Saudi Arabia

Tel: (966) 1
-
4673117 (office)

Fax: (966) 1
-
4676757

Mobile: (966) 5
-
9403853

E
-
mail:
htalaat@ksu.edu.sa

Website
:
http://faculty.ksu.edu.sa/htalaat

Department

Electrica
l Engineering

Major

Power System

citation

International Journal of Electrical Power and Energy Systems


Volume 32, Issue 7, September 2010, Pages 751
-
759


Year of Publication

2010

Publisher


Sponsor


Type of Publication

Journal

ISSN

01420615

URI/DOI


Full Text (Yes,No)

Yes

Key words

Decentralized control; Design; Fuzzy control; Fuzzy logic; Genetic engineering;
Real time control; Standby power systems

Abstract

The aim of this research is the design and implementation of a decentralized
power system stabilizer (PSS) capable of perform
ing 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 P
SS offers a superior performance in comparison with the
conventional stabilizer. © 2010 Elsevier Ltd. All rights reserved.