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Tuning of Fuzzy Logic Current Controller for HVDC Using Genetic Algorithm  

Jong-Bo Ahn (한국전기연구원 메카트로닉스부)
Gi-Hyun Hwang ((주)이노트론 기술연구소)
June Ho Park (부산대 전기공학과)
Publication Information
The Transactions of the Korean Institute of Electrical Engineers A / v.52, no.1, 2003 , pp. 36-43 More about this Journal
Abstract
This paper presents an optimal tuning method for Fuzzy Logic Controller (FLC) of current controller for HVDC using Genetic Algorithm(GA). GA is probabilistic search method based on genetics and evolution theory. The scaling factors of FLC are tuned by using real-time GA. The proposed tuning method is applied to the scaled-down HVDC simulator at Korea Electrotechnology Research Institute(KERI). Experimental result shows that disturbances are well-damped and the dynamic performances of FLC have the better responses than those of PI controller for small and large disturbances such as ULTC tap change, reference DC current change and DC ground fault.
Keywords
HVDC; Genetic Algorithm; FLC; ULTC;
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