الفهرس 
CHAPTER 1 INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Nowadays, thinking about smart grid to be the future energy grid is inevitable as a result
of several factors, including liberalizing the energy sector, renewable energy penetration,
electric vehicles, environmental problems and consumer’s demands for options. But
implementation of this grid faces many challenges such as self healing actions, renewable
energy integration, energy storage systems, consumer motivation to actively participate in
demand side management and power quality. Perhaps providing improved power quality
to the consumers represents the main challenge to the smart grid. Smart grid brings many
power quality problems due to the significant increase in the use of power electronics
based loads. These loads in addition to current nonlinear loads lead to increase harmonic
distortion in the grid causing a lot of unwanted effects, which leads to a deterioration of
the performance and efficiency of the grid. Traditionally passive filters are used to
mitigate the harmonic pollution in the grid, but it suffers from several defects such as
fixed compensation, resonance and bulky size, therefore it cannot achieve the desired
performance especially in the smart grid, so dynamic and adjustable harmonic filters
must be used such as the active power filters to mitigate these effects. Shunt active power
filter is the most important configuration that widely used to mitigate the current
harmonics and compensate the reactive power simultaneously in the distribution grids.
The performance of the shunt active filter depends mainly on the design of its control
circuit, which consists of two main parts, the reference current estimator unit and the
current controller unit. In this thesis a fuzzy logic controller is used to enhance the
performance of the shunt active power filter controller for harmonic mitigation and
reactive power compensation in power system. The system was modeled and simulated
using MATLAB/SIMULINK. The results of simulation are presented and discussed.
They show the effectiveness of the proposed fuzzy logic controller in optimizing the
current control technique of the shunt active power filter.