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