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A Novel Maximum Power Point Tracking Algorithms for Stand-alone Photovoltaic System
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  • A Novel Maximum Power Point Tracking Algorithms for Stand-alone Photovoltaic System
  • A Novel Maximum Power Point Tracking Algorithms for Stand-alone Photovoltaic System
저자명
Zhou. Shiqiong,Kang. Long-Yun,Sun. Jing,Guo. Guifang,Cheng. Bo,Cao. Binggang,Tang. Yiping
간행물명
International Journal of Control, Automation and Systems
권/호정보
2010년|8권 6호|pp.1364-1371 (8 pages)
발행정보
제어로봇시스템학회
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정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

A novel control algorithm, namely subsection adaptive hill climbing method (SSAHC), for seeking the maximum power point (MPP) of a photovoltaic (PV) panel for any temperature and solar radiation level is proposed. The algorithm is thus a combination of the subsection and adaptive hill climbing methods. In this algorithm, the characteristic curve of power-voltage of PV panel was divided into three subsections, namely large step approximation section, adaptive hill climbing section and maximum power section. Using this method, the MPP tracker (MPPT) can tune adaptively the step to track the MPP of PV system. The main advantage of the MPPT controlled by this new algorithm, when is compared with others, is that it can draw more power at a certain weather condition, especially, in case solar radiation changes rapidly at higher radiation.