Open AccessThree-phase Three-level Inverter Grid-tied PV System with Fuzzy Logic Control based MPPT
Author(s) -
Yacine Ayachi Amor,
Farid Hamoudi,
Aissa Kheldoun
Publication year - 2018
Publication title -
algerian journal of signals and systems
Language(s) - English
Resource type - Journals
eISSN - 2676-1548
pISSN - 2543-3792
DOI - 10.51485/ajss.v3i3.65
Subject(s) - maximum power point tracking , photovoltaic system , control theory (sociology) , grid connected photovoltaic power system , inverter , computer science , fuzzy logic , maximum power principle , controller (irrigation) , engineering , electronic engineering , voltage , electrical engineering , control (management) , artificial intelligence , agronomy , biology
This paper presents a three phase single stage grid connected photovoltaic PV system. Maximum power transfer from the solar array to grid is ensured by using fuzzy logic (FL) based maximum power point tracking (MPPT) controller. The proposed MPPT technique provides fast and high performances under variable climate conditions as well as sudden variation of irradiance level. Change of measured photovoltaic power and its rate of change are the input variables of the proposed fuzzy logic controller while the change in reference current is dened as the output variable. In order to meet the power quality required by the international standards, a Space Vector Modulation (SVM) controlled three-level T-type inverter and a series LCL filter are used. To show the effectiveness of the proposed grid-connected system, Matlab/Simulink software is used to carry out the simulation part. Obtained results show the role of each component, particularly the response of the maximum power tracking, the quality of the injected power, the unity power factor operation and the system’s efficiency.