A genetic-based fuzzy logic power system stabilizer for multimachine power systems

Author

Abido, M.A. ; Abdel-Magid, Y.L.

Author_Institution

Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

Volume

1

fYear

1997

fDate

12-15 Oct 1997

Firstpage

329

Abstract

This paper presents a novel approach to combine genetic algorithms (GA) with fuzzy logic systems to design a genetic-based fuzzy logic power system stabilizer (GFLPSS) for multimachine power systems. Incorporation of GA in fuzzy logic power system stabilizers (FLPSSs) design will significantly reduce the time consumed in the design process of FLPSSs. It is shown in this paper that the performance of FLPSS can be improved significantly by incorporating a genetic-based learning mechanism. The performance of the proposed GFLPSS under different disturbances is investigated. The results show the superiority of the proposed GFLPSS as compared to the classical PSS and its capability to enhance system damping to local as well as interarea modes of oscillations. The capability of the proposed GFLPSS to work cooperatively with the existing classical PSSs is also demonstrated

Keywords

damping; fuzzy control; genetic algorithms; optimal control; oscillations; power system stability; FLPSS; fuzzy logic systems; genetic algorithms; genetic-based fuzzy logic power system stabilizer; interarea oscillation modes; multimachine power systems; system damping; Adaptive control; Damping; Fuzzy control; Fuzzy logic; Genetic algorithms; Learning systems; Power system dynamics; Power system modeling; Power system stability; Power systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.625771

Filename

625771