%0 Journal Article
%T Maximum Power Point Tracker Controller Using Fuzzy Logic Control with Battery Load for Photovoltaics Systems
%A Mazen Yeselam Baramadeh
%A Mohamed Abd Almonem Abouelela
%A Saad Mubarak Alghuwainem
%J Smart Grid and Renewable Energy
%P 163-181
%@ 2151-4844
%D 2021
%I Scientific Research Publishing
%R 10.4236/sgre.2021.1210010
%X <span style=\"font-family:Verdana;\">The target of this paper is to model a Maximum Power Point Tracker (MPPT)
using a Fuzzy Logic Control (FLC) algorithm and to investigate its behavior
with a battery load. The advantage of this study over other studies in this
field is that it considers a battery load rather than the commonly used</span><span></span><span></span><b><span><span></span><span></span> </span></b><span style=\"font-family:Verdana;\">resistive load especially when we deal with the relationship between MPPT
and system load. The system is about 60</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:Verdana;\">kW which </span><span style=\"font-family:Verdana;\">is </span><span style=\"font-family:Verdana;\">simulated under various environmental conditions by Matlab/Simulink
program. For this type of non-linear application, FLC naturally offers a
superior controller for </span><span style=\"font-family:Verdana;\">the </span><span style=\"font-family:Verdana;\">real load case. The artificial intelligence approach also benefits from
this method for overcoming the complexity of nonlinear system modelling. The
results show that FLC provides high performance for MPPT of PV system with
battery load due to its low settling time and limited oscillation around the
steady state value. These are</span><span style=\"font-family:&quot;\"> </span><span style=\"font-family:Verdana;\">assistant
factors for increasing battery life.</span>
%K MPPT Controller
%K Fuzzy Logic Control
%K PV System
%K Matlab Simulink
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=112839