Simultaneous Stabilization of Multimachine Power System Using Genetic Algorithm Based Power System Stabilizers

Author

Dubey, Manisha ; Dubey, Aalok

Author_Institution

Maulana Azad Nat. Inst. of Technol., Bhopal

Volume

2

fYear

2006

fDate

6-8 Sept. 2006

Firstpage

426

Lastpage

431

Abstract

This paper presents the simultaneous tuning of power system stabilizers in a multi-machine power system. The problem of selecting the parameters of power system stabilizers in converted into an optimization problem that is solved by genetic algorithm using eigen value based objective function. The dynamic performance of the system has been investigated under small perturbation and large disturbance. The performance of genetic algorithm based PSS has been compared with the conventional power system stabilizer. The non-linear simulation results on 4 machine, 11 bus system verifies the effectiveness of the proposed genetic algorithm based power system stabilizers

Keywords

eigenvalues and eigenfunctions; genetic algorithms; power system faults; power system simulation; power system stability; tuning; disturbance condition; dynamic performance; eigen value based objective function; genetic algorithm; multimachine power system stabilizers; nonlinear simulation; optimization; Damping; Genetic algorithms; Nonlinear dynamical systems; Nonlinear systems; Power system dynamics; Power system modeling; Power system simulation; Power system stability; Power systems; Tuning; Dynamic stability; Genetic Algorithm based power system stabilizer; Genetic Algorithms; Power system stabilizer; Simultaneous stabilization;

fLanguage

English

Publisher

ieee

Conference_Titel

Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International

Conference_Location

Newcastle-upon-Tyne

Print_ISBN

978-186135-342-9

Type

conf

DOI

10.1109/UPEC.2006.367513

Filename

4218720