Title :
Maximum power point tracking based on adaptive P&O method
Author :
Tao Yin ; Xiangzhong Meng ; Zhenqi Wang ; Cunhai Lin
Author_Institution :
Coll. of Autom. & Electron. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
On the basis of the engineering model of photovoltaic cells, a simulation model was built in Matlab/Simulink. The effects of temperature and the light intensity on the output characteristics of photovoltaic cells are analyzed. For the defects of perturbation and observation algorithm (P&O), an adaptive P&O algorithm which can quickly achieve MPPT when light intensity change is proposed. According to the separate simulation of the two methods, the results show that the adaptive P&O has better steady-state and dynamic performances than the traditional P&O.
Keywords :
maximum power point trackers; perturbation techniques; photovoltaic power systems; MPPT; adaptive perturbation and observation method; light intensity; maximum power point tracking; photovoltaic cells; MATLAB; Maximum Power Point Tracking; Perturbation and Observation; photovoltaic cells;
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/IWECA.2014.6845606
