DocumentCode :
3291468
Title :
Research on fuzzy controller for photovoltaic power system
Author :
Donghui, Li ; Xiaodan, Zhu
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
3506
Lastpage :
3509
Abstract :
In order to improve the conversion efficiency of photovoltaic array, photovoltaic energy system usually requires maximum power point tracking (MPPT) controller. The principle of commonly used MPPT techniques is analyzed, and their advantages and disadvantages are compared. A fuzzy controlling scheme is designed for the photovoltaic MPPT based on the characteristic of the photovoltaic array and the Duty Cycle Perturb method. The detail about designing a fuzzy control is proposed and a simulation is carried out with MATLAB to test the effect of the controller. Simulation results show that the maximum power point can be tracked well. The fuzzy logic control provides faster tracking, solves the considerable oscillation near the maximum power point and reduces severe power loss.
Keywords :
fuzzy control; maximum power point trackers; photovoltaic power systems; power generation control; MPPT technique; duty cycle perturb method; fuzzy controller; fuzzy controlling scheme; fuzzy logic control; maximum power point tracking controller; photovoltaic array conversion efficiency; photovoltaic energy system; photovoltaic power system; power loss; duty cycle perturb; fuzzy control; matlab; mppt; photovoltaic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5778221
Filename :
5778221
Link To Document :
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