Title :
Fuzzy logic control of MPPT for photovoltaic power system
Author :
Shijie Yan ; Jia Yuan ; Lei Xu
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In order to use photovoltaic cell effectively and improve its photoelectric conversion efficiency, the maximum power point of photovoltaic generation system should be tracked rapidly and stably. After comparison and analysis for several kinds of frequently used maximum power point tracking control methods, fuzzy logic control method is proposed and its controller is designed. The fuzzy controller could quickly response to the changes of outside environment, keeping the photovoltaic generation system working at maximum power point all the time. The method can effectively eliminate the power oscillation around MPP and raise stability of the system. We model and simulate for a photovoltaic generation system in SIMULINK of MATLAB. The results show that the method can quickly and correctly track change of MPP in different light intensity and the system has excellent stability performance.
Keywords :
fuzzy control; photovoltaic cells; photovoltaic power systems; power generation control; stability; MPPT; fuzzy controller; fuzzy logic control; maximum power point tracking control; photoelectric conversion efficiency; photovoltaic cell; photovoltaic generation system; photovoltaic power system; stability performance; Arrays; Fuzzy control; Fuzzy logic; Integrated circuit modeling; Photovoltaic systems; fuzzy logic control; maximum power point tracking; photovoltaic array; photovoltaic generation system;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234208