Power system stability enhancement using backstepping controller tuned by particle swarm optimization technique

被引：0
作者：
Karimi, A [1 ]
Al-Hinai, A [1 ]
Schoder, K [1 ]
Feliachi, A [1 ]
机构：
[1] W Virginia Univ, Adv Power & Elect Res Ctr, Morgantown, WV 26506 USA
来源：
2005 IEEE POWER ENGINEERING SOCIETY GENERAL MEETING, VOLS, 1-3 | 2005年
关键词：
guided particle swarm optimization; backstepping; transient stability; direct feedback linearization; power system stabilizer;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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 multimachine 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.
引用
收藏
页码：1388 / 1395
页数：8
相关论文
共 17 条
  • [1] ABIDO MA, 2001, IEEE POW ENG SOC SUM, V3
  • [2] ALHINAI A, 2003, P 35 N AM POW S NAPS
  • [3] Anderson P.M., 1994, POWER SYSTEM CONTROL
  • [4] [Anonymous], IEEE T ENERGY CONVER
  • [5] FELIACHI A, 2005, INT J CONTROL AUTOMA
  • [6] Fouad A., 1989, POWER SYSTEM TRANSIE
  • [7] HASANOVIC A, 2004, PSCE IEEE POWER OCT
  • [8] KARIMI A, 2004, PSCE IEEE POWER OCT
  • [9] KARLSSON D, 2004, IEEE POWER ENERG SEP
  • [10] Kennedy J., 1995, 1995 IEEE International Conference on Neural Networks Proceedings (Cat. No.95CH35828), P1942, DOI 10.1109/ICNN.1995.488968
12