대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 2008년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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- Pages.221-223
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- 2008
신경회로망을 이용한 태양광 발전의 MPPT 제어
MPPT Control of Photovoltaic using Neural Network
- 고재섭 (순천대학교 공과대학 정보통신공학부) ;
- 최정식 (순천대학교 공과대학 정보통신공학부) ;
- 정철호 (순천대학교 공과대학 정보통신공학부) ;
- 김도연 (순천대학교 공과대학 정보통신공학부) ;
- 정병진 (순천대학교 공과대학 정보통신공학부) ;
- 정동화 (순천대학교 공과대학 정보통신공학부)
- Ko, Jae-Sub (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Choi, Jung-Sik (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Jung, Chul-Ho (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Kim, Do-Yeon (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Jung, Byung-Jin (School of Information & Communication Engineering. Sunchon National Univ.) ;
- Chung, Dong-Hwa (School of Information & Communication Engineering. Sunchon National Univ.)
- 발행 : 2008.04.25
초록
This paper presents a maximum power point tracking(MPPT) of Photovoltaic system with chopping ratio of DC-DC converter considered load. A variation of solar irradiation is most important factor in the MPPT of PV system. That is nonlinear, aperiodic and complicated. The paper consists of solar radiation source, DC-DC converter, DC motor and load(cf, pump). NN algorithm apply to DC-DC converter through an adaptive control of neural network, calculates converter-chopping ratio using an adaptive control of NN. The results of an adaptive control of NN compared with the results of converter-chopping ratio which are calculated mathematical modeling and evaluate the proposed algorithm. The experimental data show that an adequacy of the algorithm was established through the compared data.
키워드