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

Volume

3

fYear

2001

fDate

2001

Firstpage

1816

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2001. Proceedings. ISIE 2001. IEEE International Symposium on

Conference_Location

Pusan

Print_ISBN

0-7803-7090-2

Type

conf

DOI

10.1109/ISIE.2001.931986

Filename

931986