Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2001.05a
- /
- Pages.210-213
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- 2001
Fuzzy Logic Based Extended Integral Control for Load Frequency Control
부하 주파수 제어를 위한 퍼지 로직 기반 확장 적분 제어
- Ryu, Heon-Su (Dept. of Electrical Eng., Yonsei Univ.) ;
- Lee, Jong-Gi (Dept. of Electrical Eng., Yonsei Univ.) ;
-
Kim, Seog-Joo
(Dept. of Electrical Eng., Yonsei Univ.)
;
- Kim, Baik (Dept. of Electric Control, Korea National Railway College) ;
- Moon, Young-Hyun (Dept. of Electrical Eng., Yonsei Univ.)
- 류헌수 (연세대학교 전기전자공학과 에너지시스템 연구실) ;
- 이종기 (연세대학교 전기전자공학과 에너지시스템 연구실) ;
-
김석주
(연세대학교 전기전자공학과 에너지시스템 연구실)
;
- 김백 (한국 철도 대학 전기제어과) ;
- 문영현 (연세대학교 전기전자공학과 에너지시스템 연구실)
- Published : 2001.05.11
Abstract
This study presents an effective variable forgetting factor method based on fuzzy logic to suppress frequency droop in extended integral load frequency control. The performance of the extended integral control is greatly dependent on the decaying factor. For an optimal or near optimal performance, it is necessary that the decaying factor as well as the feedback gains should be changed very quickly in response to changes in the system dynamics. However, because of its time-varing characteristic, the optimal decaying factor is difficult to be selected analytically. By adopting fuzzy set theory, the decaying factor can be determined quickly to respond to the variation of the feedback signals. This study builds a fuzzy rule base with use of the change of frequency and its rate as inputs. The computer simulation has been conducted for the single machine system. The simulation results show that the proposed fuzzy 1o81c based controller yields more improved control performance than the conventional PI controller.
Keywords