Author/Authors
TKOUTI, N. University of Biskra - Electrical engineering department, Algeria , MOUSSI, A. University of Biskra - Electrical engineering department, Algeria
Title Of Article
MAXIMUM POWER POINT TRACKER USING GENETIC FUZZY CONTROLLER FOR PHOTOVOLTAIC GRID CONNECTED ARRAY
شماره ركورد
21667
Abstract
paper presents a fuzzy logic controller (FLC) used as a maximum power point tracker(MPPT) of a line commutated inverter in a photovoltaic (PV) grid connected system, under variable irradiance conditions. The purpose is to find the relationship between the maximum power point (MPP) and weather parameters and track the MPP and transferring the maximum power to utility grid. The design of control rules were found by genetic algorithms (GAs) to modulate the firing angle of the inverter for tracking the MPP. Simulation results prove the superior tracking efficiency of the fuzzy controller optimized under variable parameters.
From Page
65
NaturalLanguageKeyword
Fuzzy Controller , Genetic Algorithm , Grid Connection , Maximum Power Point Tracking , Photovoltaic Energy. Weather conditions
JournalTitle
Courrier Du Savoir
To Page
70
JournalTitle
Courrier Du Savoir
Link To Document