الفهرس 
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Abstract
In this thesis, enhancement of the electrical distribution systems
performance is achieved by applying different methods which include
installing shunt capacitors, distributed generation (DG) units and
distributed static synchronous compensator (DSTATCOM) in the
radial distribution system at specified locations with proper sizes
within predefined constraints. The importance of installing these
devices and units on radial distribution systems is essential for
improving the system overall voltage profile , power flow control,
enhancing voltage stability, power factor correction, enhancing power
quality, reducing electrical power loss in distribution level, and
strengthening system reliability accompanied by economic benefits
and cost reduction . It is necessary to determine the optimal size and
location of installed units in the electrical network to gain the most
benefits of these devices. The solution techniques are categorized into
four categories; analytical, numerical programming, heuristic, and
artificial intelligence-based (AI-Based).
Two nature inspired AI-Based methods are introduced and used for
the first time to solve that kind of optimization problems. Results of
the proposed techniques are compared with previous methods used to
solve the same problem in order to show the superiority of the
proposed technique using many actual distribution feeders (e.g. 15
bus, 33 bus, and 69 bus feeders). These new simple techniques have
the capability to find the best results for maximum minimization in system power losses, improving system voltage profile and decreasing
costs among all previous studied techniques.
The thesis presents the modified whale optimization algorithm is
reviewed and explained to show its effectiveness in solving the
capacitor allocation problem and distributed generation allocation
problem. Also the improved grey wolf optimization algorithm is
reviewed and explained to present its effectiveness in solving the
DSTATCOM allocation problem. Both algorithms are a set of known
arranged steps guaranteed to find the global optimal solution. The
research ensures that these new used optimization techniques are
dependable for solving the capacitor, DG and DSTATCOM allocation
problem for radial distribution networks. For any radial feeder
topology, the proposed methods find the maximum power loss and
cost reduction accompanied by better system voltage profile without
violation the problem predefined constraints. The techniques converge
to the optimal solution with high quality. Also the coding of the
techniques is simple and provides more accurate results.
Another topic is studied in this thesis which is the optimal control
of DSTATCOM by adjusting PI controllers using an accelerated
whale optimization algorithm in order to achieve voltage stability and
power quality improvement.
Up till now, three papers have been published in Scopus index
international journals.