Application of varying population size particle swarm optimization algorithm to AGC of power systems

Proceedings of the World Congress on Intelligent Control and Automation (WCICA)

Volumn 1, Issue , 2006, Pages 3310-3314

  Ma, Fei ^a   Chen, Xue Bo ^a  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY LIAONING   (China)

Author keywords

Automatic generation control; Genetic algorithm; Interconnected power systems; Particle swarm optimization algorithm

Indexed keywords

AUTOMATIC GENERATION CONTROL; LOAD FREQUENCY CONTROL; PARTICLE SWARM OPTIMIZATION ALGORITHM; PI CONTROLLERS;

ELECTRIC POWER GENERATION; GENETIC ALGORITHMS; OPTIMIZATION; PROBLEM SOLVING; TWO TERM CONTROL SYSTEMS;

ELECTRIC POWER SYSTEM INTERCONNECTION;

EID: 34047204243     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCICA.2006.1712980     Document Type: Conference Paper

References (4)

1. M.aldeen,H.Trinn, Load-frequency control of interconnected power systems via constrained feedback control schemes, International Journal on Computers & Electrical Engineering, vol. 20, no. 1, pp. 71-88, 1994.
2. Dash P.K.,Liew A.C.Mishra B.R.,An adaptive PID stabilizer for power systems using fuzzy logic,Electric Power systems Research vol.44 no.3 pp. 213-222,1998
3. F.Beaufays,Y.Abdel-Magid,B Widrow. Application of neural network to load frequency control in power systems,Neural Networks 7(1)(1999)183-194
4. J. Kennedy and R.C. Eberhart. Swarm Intelligence. Academic Press, London, 2001.