Craziness based and velocity relaxed swarm optimized intelligent PID controlled AVR system

2008 Joint International Conference on Power System Technology POWERCON and IEEE Power India Conference, POWERCON 2008

Volumn , Issue , 2008, Pages

  Mukherjee, V ^a   Ghoshal, S P ^b  

^a ASANSOL ENGINEERING COLLEGE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Automatic voltage regulator; Fuzzy logic; Genetic algorithm; Particle swarm optimization; PID controller

Indexed keywords

ELECTRIC CONTROL EQUIPMENT; ELECTRIC POTENTIAL; ELECTRIC POWER TRANSMISSION NETWORKS; FUZZY LOGIC; FUZZY SETS; GENETIC ALGORITHMS; POWER TRANSMISSION; PROPORTIONAL CONTROL SYSTEMS; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS; VELOCITY; VOLTAGE CONTROL; VOLTAGE STABILIZING CIRCUITS;

AUTOMATIC VOLTAGE REGULATOR; BINARY CODED GENETIC ALGORITHMS; COMPARATIVE STUDIES; COMPUTATIONAL EFFORTS; NEW CLASS; OPERATING CONDITIONS; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATION TECHNIQUES; PERFORMANCE STUDIES; PID CONTROLLER; PROPORTIONAL INTEGRAL DERIVATIVES; RELAXATION STRATEGIES; SEARCHING ABILITIES; SWARM OPTIMIZATIONS; TAKAGI-SUGENO FUZZY LOGIC; TRANSIENT PERFORMANCE; UPDATING STRATEGIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 62949220894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPST.2008.4745276     Document Type: Conference Paper

References (11)

1. R. A. Krohling, and J. P. Rey, "Design of optimal disturbance rejection PID controllers using genetic algorithms," IEEE Trans. Evol. Comput., vol. 5, no. 1, pp. 78-82, Feb. 2001.
2. Q. H. Wu, B. W. Hogg, and G. W. Irwin, "A neural network regulator for turbogenerators," IEEE Trans. Neural Networks, vol. 3, pp. 95-100, 1992.
3. S. H. Qin, and G. A. Borders, "Multi-region fuzzy logic controller of nonlinear process control," IEEE Trans. Fuzzy System, vol. 2, pp. 74-81, 1994.
4. Zwe-Lee Gaing, "A particle swarm optimization approach for optimum design of PID controller in AVR system," IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 384-391, June 2004.
5. J. Kennedy, and R. C. Eberhart, "Particle swarm optimization," in Proc. IEEE Int. Conf Neural Networks, Perth, Australia, 1995, vol. 4, pp. 1942-1948.
6. Liu Yu, Qin Zheng, and He Xingshi, "Supervisor-student model in particle swarm optimization," IEEE Trans. Evol. Comput., pp. 542-547, Apr. 2004.
7. V. Mukherjee, and S. P. Ghoshal, "Intelligent particle swarm optimized fuzzy PID controller for AVR system," Elect. Power Syst. Res., vol. 77, no. 12, pp. 1689-1698, Oct. 2007.
8. Hadi Saadat, Power System Analysis. India: Tata McGraw-Hill, 1999.
9. S. L. Ho, Shiyou Yang, Guangzheng Ni, Edward W. C. Lo, and H. C. Wong, "A particle swarm optimization-based method for multiobjective design optimizations," IEEE Trans. Magnetics, vol. 41, no. 5, pp. 1756-1759, May 2005.
10. S. P. Ghoshal, "Optimization of PID gains by particle swarm optimizations in fuzzy based automatic generation control," Elect. Power Syst. Res., vol. 72, no. 3, pp. 203-212, Dec. 2004
11. V. Mukherjee, and S. P. Ghoshal, "Velocity relaxed swarm intelligent tuning of fuzzy based power system stabilizer," in Proc. IEEE PES 2006 Power India Conf:, New Delhi, India, Apr. 2006, [Online]. Available: http://www.ieeexplore.ieee.org.