DocumentCode :
1586574
Title :
Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique
Author :
Karimi, Ali ; Al-Hinai, Amer ; Schoder, Karl ; Feliachi, Ali
Author_Institution :
Center of Adv. Power & Electr. Res., West Virginia Univ., Morgantown, WV, USA
fYear :
2005
Firstpage :
1388
Abstract :
A method for designing controls through the excitation system and particle swarm optimization technique to search for the optimal setting of the controller gains to improve transient stability and damping is presented. Simulation of multi-machine power systems are performed to show the effectiveness of the proposed controller. Comparisons with two other control schemes namely (i) a voltage regulator combined with a power system stabilizer and (ii) excitation controls designed by using the direct feedback linearization (DFL) technique are given to further benchmark the control scheme.
Keywords :
control system synthesis; linearisation techniques; optimal control; particle swarm optimisation; power system transient stability; voltage regulators; backstepping controller; controller optimal setting; direct feedback linearization technique; excitation system; multimachine power systems; particle swarm optimization technique; power system transient stability enhancement; transient stability; voltage regulator; Backstepping; Control systems; Design methodology; Linear feedback control systems; Optimal control; Particle swarm optimization; Power system simulation; Power system stability; Power system transients; Voltage control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
Type :
conf
DOI :
10.1109/PES.2005.1489742
Filename :
1489742
Link To Document :
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