Article (Scientific journals)
Fuzzy Neural Design of Power Systems Stabilizers
Jasim, Ibrahim
2010In Journal of Kerbala University, 8 (1), p. 333-345
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Keywords :
Power systems stabilizer; fuzzy logic; neural networks; ANFIS
Abstract :
[en] This paper presents a new approach of designing the Power Systems Stabilizer (PSS) that is based on fuzzy neural system. Adaptive Network based Fuzzy Inference System (ANFIS) is utilized in constructing the Fuzzy Neural Power Systems Stabilizer (FNPSS). The employment of ANFIS enables the system avoiding defects caused when using fuzzy logic and neural networks individually in designing an efficient PSS. Single Machine Infinite Bus (SMIB) power system has been taken as a case study to evaluate the suggested strategy performance. Simulation results have been conducted to confirm the approach validity.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Jasim, Ibrahim ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Language :
English
Title :
Fuzzy Neural Design of Power Systems Stabilizers
Publication date :
2010
Journal title :
Journal of Kerbala University
ISSN :
1813-0410
Publisher :
The University of Kerbala, Kerbala, Iraq
Volume :
8
Issue :
1
Pages :
333-345
Peer reviewed :
Peer Reviewed verified by ORBi
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