A QPSO based parameters tuning of the conventional power system stabilizer

Author

Babaei, Ebrahim ; Hosseinnezhad, Vahid

Author_Institution

Fac. of Electr. & Comput. Eng., Univ. of Tabriz, Tabriz, Iran

fYear

2010

fDate

27-29 Oct. 2010

Firstpage

467

Lastpage

471

Abstract

This paper presents a new stochastic optimization approach for parameter tuning of conventional power system stabilizer (PSS). Quantum-behaved particle swarm optimization (QPSO) technique is suggested in this paper to search for optimal settings of PSS parameters. An eigenvalue-based objective function to enhance system damping of electromechanical modes is considered. The performance of the proposed PSS is investigated under different disturbances and loading conditions for a single machine infinite bus (SMIB) system. The effectiveness of the proposed PSS is demonstrated through nonlinear time-domain simulation and two performance indices. The results analysis reveals that the designed QPSO based PSS has an excellent capability in damping power system oscillations in comparison with designed classical particle swarm optimization (CPSO) based PSS and enhance greatly the dynamic stability of the power systems.

Keywords

damping; eigenvalues and eigenfunctions; oscillations; particle swarm optimisation; power system dynamic stability; stochastic processes; time-domain analysis; PSS; QPSO; damping; eigenvalue based objective function; electromechanical modes; nonlinear time-domain simulation; parameter tuning; power system dynamic stability; power system oscillations; power system stability; quantum-behaved particle swarm optimization; single machine infinite bus; stochastic optimization; Damping; Optimization; Oscillators; Particle swarm optimization; Power system dynamics; Power system stability; Particle swarm optimization; Power system stabilizer; Quantum-behaved particle swarm optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

IPEC, 2010 Conference Proceedings

Conference_Location

Singapore

ISSN

1947-1262

Print_ISBN

978-1-4244-7399-1

Type

conf

DOI

10.1109/IPECON.2010.5697041

Filename

5697041