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

Volume

3

fYear

2002

fDate

28-31 Oct. 2002

Firstpage

1818

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;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering

Print_ISBN

0-7803-7490-8

Type

conf

DOI

10.1109/TENCON.2002.1182689

Filename

1182689