Title :
A genetic algorithm approach to design an optimal fuzzy controller for rectifier current control in HVDC system
Author_Institution :
Korea Electrotechnol. Res. Inst., Changwon
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;
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
DOI :
10.1109/ICEC.1998.699789
