DocumentCode :
2735127
Title :
Design of state feedback damping controller for the UPFC using PSO technique
Author :
Jalilzadeh, Saeed ; Safari, Amin
Author_Institution :
Electr. Eng. Dept., Univ. of Zanjan, Zanjan, Iran
Volume :
2
fYear :
2009
fDate :
20-22 Nov. 2009
Firstpage :
99
Lastpage :
102
Abstract :
This paper presents a particle swarm optimization (PSO) based state feedback damping controller design for unified power flow controller (UPFC). The selection of the state feedback gains for the UPFC controllers is converted to an optimization problem with the eigenvalue-based objective function which is solved by a PSO that has a strong ability to find the most optimistic results. The effectiveness of the proposed controller is demonstrated through eigenvalue analysis and nonlinear time-domain simulation studies. The performance of the proposed method is compared to that of the phase compensation based method for different operating conditions and disturbance. The results analysis reveals that the PSO based designed damping controller for UPFC has an excellent capability in damping power system low frequency oscillations.
Keywords :
control system synthesis; damping; eigenvalues and eigenfunctions; nonlinear control systems; particle swarm optimisation; power system control; simulation; state feedback; time-varying systems; PSO; UPFC; damping controller; eigenvalue; nonlinear time-domain simulation; particle swarm optimization; phase compensation; power system; state feedback; unified power flow controller; Analytical models; Control systems; Damping; Eigenvalues and eigenfunctions; Load flow; Particle swarm optimization; Power system analysis computing; Power system simulation; State feedback; Time domain analysis; PSO; UPFC; component; damping controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
Type :
conf
DOI :
10.1109/ICICISYS.2009.5358169
Filename :
5358169
Link To Document :
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