Title :
Design of fuzzy logic controller for HVDC using an adaptive evolutionary algorithm
Author :
Choi, Jae-Gon ; Hwang, Gi-Hyun ; Kang, Hyeon Tae ; Park, June Ho
Author_Institution :
Dept. of Electr. Eng., Pusan Nat. Univ., South Korea
Abstract :
This paper presents an optimal design method for a fuzzy logic controller (FLC) of HVDC using an adaptive evolutionary algorithm (AEA). We propose an AEA, which uses a genetic algorithm (GA) and an evolution strategy (ES) in an adaptive manner to take merits of the two different evolutionary algorithms. We use AEA to tune fuzzy membership functions and scaling constants. Simulation result shows that disturbances are well damped and the dynamic performances of FLC have better responses than those of PD controller when the AC system load changes suddenly
Keywords :
HVDC power convertors; HVDC power transmission; control system synthesis; fuzzy control; genetic algorithms; power system control; power transmission control; AC system load change; HVDC; adaptive evolutionary algorithm; dynamic performances; evolution strategy; fuzzy logic controller design; fuzzy membership functions tuning; genetic algorithm; optimal design method; scaling constants; Adaptive control; Algorithm design and analysis; Control systems; Evolutionary computation; Fuzzy logic; HVDC transmission; PD control; Power system dynamics; Power system modeling; Programmable control;
Conference_Titel :
Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on
Conference_Location :
Pusan
Print_ISBN :
0-7803-7090-2
DOI :
10.1109/ISIE.2001.931986
