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.
| Original language | English |
|---|---|
| Title of host publication | 2005 IEEE Power Engineering Society General Meeting |
| Pages | 1388-1395 |
| Number of pages | 8 |
| Volume | 2 |
| Publication status | Published - 2005 |
| Event | 2005 IEEE Power Engineering Society General Meeting - San Francisco, CA, United States Duration: Jun 12 2005 → Jun 16 2005 |
Other
| Other | 2005 IEEE Power Engineering Society General Meeting |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 6/12/05 → 6/16/05 |
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Keywords
- Backstepping
- Direct Feedback Linearization
- Guided Particle Swarm Optimization
- Power System Stabilizer
- Transient Stability
ASJC Scopus subject areas
- Engineering(all)
Cite this
Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique. / Karimi, Ali; Al-Hinai, Amer; Schoder, Karl; Feliachi, Ali.
2005 IEEE Power Engineering Society General Meeting. Vol. 2 2005. p. 1388-1395.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
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
SN - 078039156X
VL - 2
SP - 1388
EP - 1395
BT - 2005 IEEE Power Engineering Society General Meeting
ER -