Title :
An improved MPPT algorithm based on traditional incremental conductance method
Author :
Ping, Wang ; Hui, Ding ; Changyu, Diao ; Shengbiao, Qi
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
Maximum power point tracking (MPPT) is the core control module of photovoltaic power generation system. In order to maximize the use of solar energy, maximum power tracking is a necessary. Based on mathematical engineering models of photovoltaic cells, the output characteristics of photovoltaic cells were studied in the case of the changing external environment. According to the output characteristics, based on the traditional incremental conductance method, we proposed an improved variable step of the duty cycle tracking technology through power detection. The traditional algorithm and improved algorithm were comparatively simulated using MATLAB / Simulink and simulation results show that the improved algorithm can achieve better tracking performance in the case of the changing external environment.
Keywords :
maximum power point trackers; photovoltaic power systems; power generation control; Matlab-Simulink simulation; core control module; duty cycle tracking technology; improved MPPT algorithm; incremental conductance method; mathematical engineering models; maximum power point tracking; photovoltaic cells; photovoltaic power generation system; power detection; solar energy; Mathematical model; Photovoltaic cells; Photovoltaic systems; Simulation; Temperature; Voltage control; INC algorithm; MPPT; Photovoltaic system; photovoltaic cells; power detection;
Conference_Titel :
Power Electronics Systems and Applications (PESA), 2011 4th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4577-0205-1
DOI :
10.1109/PESA.2011.5982914