Title :
Genetic algorithm optimization for AGC of multi-area power systems
Author :
Pingkang, Li ; Hengjun, Zhu ; Yuyun, Li
Author_Institution :
Sch. of Mech., Electronical & Control Eng., Northern Jiaolong Univ., Beijing, China
Abstract :
A genetic algorithm (GA) for parameter optimization of PID sliding mode load frequency control used in automatic generating control (AGC) of multiarea power systems with nonlinear elements has been proposed. The method has the advantages of both PID and sliding mode control. Instead of using a traditional analysis algorithm to obtain the controller parameters, GA optimization technology is introduced. PID parameter optimization for the interconnection of the AGC loops using MATLAB/Simulink model is developed. A real coded genetic algorithm is adopted and integrated into MATLAB/Simulink. The simulation of a two-area power system with PI and PID controllers is reported and the results are reasonable.
Keywords :
frequency control; genetic algorithms; load regulation; power generation control; power system interconnection; three-term control; two-term control; variable structure systems; MATLAB/Simulink model; PI controller; PID parameter optimization; PID sliding mode load frequency control; automatic generating control; controller parameters; genetic algorithm; multiarea power systems; nonlinear elements; optimization technology; parameter optimization; real coded genetic algorithm; two-area power system; Frequency control; Genetic algorithms; MATLAB; Power system analysis computing; Power system interconnection; Power system modeling; Power system simulation; Power systems; Sliding mode control; Three-term control;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182689
