DocumentCode :
2730968
Title :
Application of Varying Population Size Particle Swarm Optimization Algorithm to AGC of Power Systems
Author :
Ma, Fei ; Chen, Xue-Bo
Author_Institution :
Sch. of Electron. & Inf. Eng.,, Anshan Univ. of Sci. & Technol.
Volume :
1
fYear :
0
fDate :
0-0 0
Firstpage :
3310
Lastpage :
3314
Abstract :
An effective method of making tradeoff between the optimize precision and optimize speed for load frequency control in the automatic generation control, which can improve the calculating process of particle swarm algorithm is presented in this paper. This method which is suit for the case that the object to be optimized is complicate can be used to accelerate optimizing process and save calculate time but not influence precision due to the fact that particle swarm optimization algorithm is not sensitive to the number of particles. The method of optimizing PI controller coefficient using promoted particle swarm algorithm which is used to meet the different performance need in single-area and two-area interconnected power system is proposed respectively. The simulation result shows that the performance is better than the PI controller optimized by genetic algorithm
Keywords :
PI control; frequency control; genetic algorithms; optimal control; particle swarm optimisation; power generation control; power system interconnection; power system simulation; automatic generation control; genetic algorithm; interconnected power system; load frequency control; optimizing PI controller; population size particle swarm optimization algorithm; power systems; Acceleration; Automatic generation control; Control systems; Frequency control; Genetic algorithms; Optimization methods; Particle swarm optimization; Power system interconnection; Power system simulation; Power systems; Automatic Generation Control; Interconnected Power Systems; Particle Swarm Optimization Algorithm; genetic algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
Type :
conf
DOI :
10.1109/WCICA.2006.1712980
Filename :
1712980
Link To Document :
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