Fast synthetic genetic algorithm and its application to optimal control of reactive power flow

Author

Meng Xianping ; Zhishan, Liang ; Huaguang, Zhang

Author_Institution

Dept. of Autom. Control, Northeastern Univ., Shenyang, China

Volume

2

fYear

1998

fDate

18-21 Aug 1998

Firstpage

1454

Abstract

In order to solve slow convergence speed, premature convergence and large population and individual number of genetic algorithms, this paper proposes a fast synthetic genetic algorithm, and applies the algorithm to optimal control of reactive power flow. The effectiveness of the algorithm is verified by simulating the IEEE-30 bus system and a test electric power system and comparing with the optimal load flow method and simple genetic algorithm, the results demonstrate that the algorithm is more effective

Keywords

genetic algorithms; load flow control; optimal control; power system control; reactive power control; IEEE-30 bus system; fast synthetic genetic algorithm; optimal control; power system; premature convergence; reactive power flow control; slow convergence speed; test electric power system; Control systems; Convergence; Genetic algorithms; Genetic mutations; Load flow; Optimal control; Power system control; Power system simulation; Power systems; Reactive power control;

fLanguage

English

Publisher

ieee

Conference_Titel

Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4754-4

Type

conf

DOI

10.1109/ICPST.1998.729328

Filename

729328