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A Novel Maximum Power Point Tracking Algorithms for Stand-alone Photovoltaic System
Shiqiong Zhou,Longyun Kang,Jing Sun,Guifang Guo,Bo Cheng,Binggang Cao,Yiping Tang 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.6
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 me-thods. 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.
On a Class of Analytic Functions Related to the Starlike Functions
Gao, Chunyi,Zhou, Shiqiong Department of Mathematics 2005 Kyungpook mathematical journal Vol.45 No.1
In this paper we discuss a class of analytic functions related to the starlike functions in the unit disk. We prove that this class belongs to the class of close-to-convex functions, we obtain the sharp coefficient upper bounds and distortion theorem of this class, we also get the convexity radius of this class.