DocumentCode :
3577503
Title :
Maximum power point tracking using dual PI fuzzy controller for photovoltaic system
Author :
Derri, Mounir ; Bouzi, Mostafa ; Lagrat, Ismail ; Baba, Youssef
Author_Institution :
Lab. of Mech. Eng., Ind. Manage. & Innovation, Hassan Univ., Settat, Morocco
fYear :
2014
Firstpage :
152
Lastpage :
156
Abstract :
In this paper we propose an intelligent control method to track the maximum power point (MPP) of a standalone photovoltaic system. The output power of a photovoltaic panel depends on solar irradiation and temperature. So it is important to operate the photovoltaic (PV) panel in its maximum power point. Our system is composed of a PV panel which supplies a DC load, a DC-DC converter, considered as an adaptation stage between the PV and the DC load. The idea of the proposed technique is to use dual PI fuzzy controller to generate a suitable duty cycle for the DC-DC converter. The simulation result shows the effectiveness of the system and the good performance of the proposed method.
Keywords :
PI control; fuzzy control; intelligent control; maximum power point trackers; photovoltaic power systems; power generation control; DC load; DC-DC converter; dual PI fuzzy controller; intelligent control; maximum power point tracking; photovoltaic panel; solar irradiation; solar temperature; standalone photovoltaic system; Niobium; DC-DC converter; Fuzzy logic; MPP; Matlab/Simulink; Photovoltaic system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Renewable and Sustainable Energy Conference (IRSEC), 2014 International
Print_ISBN :
978-1-4799-7335-4
Type :
conf
DOI :
10.1109/IRSEC.2014.7059905
Filename :
7059905
Link To Document :
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