DocumentCode :
3768909
Title :
Robust tracking with fuzzy sliding mod control strategy for grid connected photovoltaic system
Author :
L. Zaghba;M. Khennane;A. Borni;A. Bouchakour;A. Fezzani;I. Hadj Mahamed;S. H. Oudjana;N. Terki
Author_Institution :
Unit? de Recherche Appliqu?e en Energies Renouvelables, URAER, Centre de D?veloppement des Energies Renouvelables, CDER, 47133, Gharda?a, Alegria
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
This paper deals a grid-connected photovoltaic (PV) system that is composed of a PV array, boost converter with Robust Tracking Fuzzy sliding mode MPPT control strategy, and inverter coupled to grid. The MPPT control was performed using a hybrid control between the sliding mode control known for its simplicity and its position vis-à-vis robustness interference and control by fuzzy logic known by its fast response time and ease of implementation, in order to develop a MPPT controller that combines the performance of both commands. The proposed system with Fuzzy sliding mode MPPR control is tested using MATLAB/SIMULINK platform in which maximum power energy is tracked under constant and varying solar irradiance in to grid with a unity power factor. It can be concluded that the proposed method can quickly track the maximum power point of photovoltaic arrays, and also decrease the maximum power point oscillation energy loss. Therefore, the energy transmission efficiency of PV system power generation system is enhanced.
Keywords :
"Mathematical model","Niobium","Photovoltaic systems","Voltage control","Robustness","Inverters","Fuzzy logic"
Publisher :
ieee
Conference_Titel :
Renewable and Sustainable Energy Conference (IRSEC), 2015 3rd International
Electronic_ISBN :
2380-7393
Type :
conf
DOI :
10.1109/IRSEC.2015.7455022
Filename :
7455022
Link To Document :
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