Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2008.04c
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- Pages.221-223
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- 2008
MPPT Control of Photovoltaic using Neural Network
신경회로망을 이용한 태양광 발전의 MPPT 제어
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Ko, Jae-Sub
(School of Information & Communication Engineering. Sunchon National Univ.) ;
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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.) ;
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Chung, Dong-Hwa
(School of Information & Communication Engineering. Sunchon National Univ.)
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고재섭
(순천대학교 공과대학 정보통신공학부) ;
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최정식
(순천대학교 공과대학 정보통신공학부) ;
- 정철호 (순천대학교 공과대학 정보통신공학부) ;
- 김도연 (순천대학교 공과대학 정보통신공학부) ;
- 정병진 (순천대학교 공과대학 정보통신공학부) ;
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정동화
(순천대학교 공과대학 정보통신공학부)
- Published : 2008.04.25
Abstract
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.
Keywords