DocumentCode :
2156642
Title :
Design and parameters optimization of power system stabilizer to improve power system oscillations
Author :
Hassan, Mohammed Osman ; Cheng, S.J. ; Zakaria, Zakaria Anwar
Author_Institution :
Dept. of Electr. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume :
5
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
107
Lastpage :
111
Abstract :
In this paper, conventional lead-lag power system stabilizer (CPSS) is designed to damp electromechanical oscillations. CPSS parameters settings are computed using linear control theory. A new technique based on particle swarm optimization PSO is proposed to optimize the parameters settings of CPSS. The problem is formulated as an optimization problem, the objective is to compute the optimal parameters settings such that damping ratio maximized as much as possible. The performance and robustness of optimized CPSS (OPSS) is then, tested on 9-bus multi-machine system under normal operating conditions, heavy loadings and response to three phase short circuit. Eigenvalues results and nonlinear time domain simulation show the effectiveness and robustness of the proposed OPSS over CPSS under different proposed cases.
Keywords :
control system synthesis; eigenvalues and eigenfunctions; linear systems; optimal control; oscillations; parameter estimation; particle swarm optimisation; power system stability; robust control; design optimization; eigenvalue; electromechanical oscillation damping; lead-lag power system stabilizer; linear control theory; multi-machine system; nonlinear time domain simulation; parameter optimization; particle swarm optimization; power system oscillation; three phase short circuit; Circuit testing; Computational modeling; Control theory; Damping; Design optimization; Eigenvalues and eigenfunctions; Particle swarm optimization; Power systems; Robustness; System testing; Power system stabilizer; damping; electromechanical oscillations; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451504
Filename :
5451504
Link To Document :
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