TY - GEN
T1 - Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique
AU - Karimi, Ali
AU - Al-Hinai, Amer
AU - Schoder, Karl
AU - Feliachi, Ali
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Backstepping
KW - Direct Feedback Linearization
KW - Guided Particle Swarm Optimization
KW - Power System Stabilizer
KW - Transient Stability
UR - http://www.scopus.com/inward/record.url?scp=27144460609&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=27144460609&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:27144460609
SN - 078039156X
T3 - 2005 IEEE Power Engineering Society General Meeting
SP - 1388
EP - 1395
BT - 2005 IEEE Power Engineering Society General Meeting
T2 - 2005 IEEE Power Engineering Society General Meeting
Y2 - 12 June 2005 through 16 June 2005
ER -