A genetic algorithm approach to design an optimal fuzzy controller for rectifier current control in HVDC system

Author

Jae Young Yoon

Author_Institution

Korea Electrotechnol. Res. Inst., Changwon

fYear

1998

fDate

4-9 May 1998

Firstpage

404

Lastpage

409

Abstract

The paper presents an optimal design method for fuzzy logic controllers using a genetic algorithm (GA) in an HVDC system. Fuzzy logic controllers are applied to damp the dynamic disturbances such as sudden changes of AC system loads. The dynamic performances of fuzzy logic controllers are compared with those of PI controllers. In both controllers, the genetic algorithm is used for tuning membership functions and PI gains. The simulation results show that the dynamic performances of fuzzy controllers have better responses than those of PI controllers when the AC system load changes

Keywords

HVDC power transmission; controllers; electric current control; fuzzy control; genetic algorithms; optimal control; power system control; rectifiers; tuning; two-term control; AC system load changes; HVDC system; PI controllers; PI gains; dynamic disturbance damping; dynamic performance; fuzzy logic controllers; genetic algorithm; membership functions; optimal design method; optimal fuzzy controller design; rectifier current control; simulation; Algorithm design and analysis; Control systems; Current control; Fuzzy control; Fuzzy logic; Genetic algorithms; HVDC transmission; Optimal control; Power system modeling; Rectifiers;

fLanguage

English

Publisher

ieee

Conference_Titel

Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-4869-9

Type

conf

DOI

10.1109/ICEC.1998.699789

Filename

699789