A novel maximum power point tracking algorithms for stand-alone photovoltaic system

• Published in: International journal of control, automation, and systems Vol. 8; no. 6; pp. 1364 - 1371
• Main Authors: Zhou, Shiqiong, Kang, Longyun, Sun, Jing, Guo, Guifang, Cheng, Bo, Cao, Binggang, Tang, Yiping
• Format: Journal Article
• Language: English
• Published: Heidelberg Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers 01.12.2010; Springer Nature B.V; 제어·로봇·시스템학회
• Subjects: Adaptive algorithms; Algorithms; Alternative energy sources; Approximation; Climbing; Control; Control algorithms; Electricity distribution; Engineering; Load; Maximum power; Mechanical engineering; Mechatronics; Panels; Photovoltaic cells; Radiation; Robotics; Solar cells; Solar radiation; Technical Notes and Correspondence; 제어계측공학; subsection adaptive hill climbing (SSAHC); photovoltaic (PV) panel; Maximum power point tracker (MPPT)
• ISSN: 1598-6446; 2005-4092
• DOI: 10.1007/s12555-010-0624-7

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.