الفهرس 
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Abstract
Recently, the increasing energy demand has been growing dramatically and improved
standards of living will likely put added pressure on energy supplies, rotating outages,
and increasing fossil fuels prices which have motivated many utilities and consumers
to developing and harnessing new forms of energy sources that are highly reliable.
Modern energy sources are now increasingly concentrated on renewable energy
sources. Photovoltaic energy plays an important role in generating electrical energy
as a renewable energy source. The nonlinearity in the power-voltage characteristic
curves of a solar PV system is affected by environmental factors, including solar
radiation and temperature [3]. However, nonlinearity can be managed using maximum
power point tracking (MPPT) algorithms, which recognize and operate at the
maximum power point (MPP) under all environmental conditions.
The principal objective of this thesis is to study and analyze the impact of intelligent
MPPT on the performance of PV solar systems and the new intelligent MPPT based
on Type-3 fuzzy logic (T3FL) and Type-3 intuitionistic fuzzy logic (T3IFL)
controllers have been proposed to improve the performance and efficiency of PV
system under uncertainty arising from disturbances.
The main objective of the T3FL technique for solar PV systems is to manage the
uncertainty caused by disturbance irradiances and partial shading of the PV system’s
inputs and enhance efficiency. To achieve a quick convergence velocity, reduced
steady-state error, high MPPT efficiency, and high accuracy in locating the MPP, the
T3IFL controller was implemented.
This thesis presents a simulation of a PV system based on MPPT algorithms with
comparative study using MATLAB/Simulink. The model is simulated to analyze the
performance of the PV system in different cases. The simulation results are
accomplished to evaluate the effectiveness of the proposed controllers and to
demonstrate its reliability in controlling the performance of the PV system.
Practical validation of the proposed controllers in the PV system with comparative
study is implemented using real-time hardware-in-the-loop (HIL). The results
demonstrate that the proposed controllers exhibit good performance under different
irradiation and partial shadow conditions.