الفهرس 
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Abstract
Distribution automation and system monitoring are the logical selection for the utilities to enhance system performance, better network management and to attain customers and shareholders satisfactions. Supervisory control and data acquisition system (SCADA) has its own features and advantages which can
effectively decrease the number of customer minutes lost and provide other network management benefits, such as reducing the cost of ownership and improving the customer interface.
Power quality in modern power systems is one of the important topics that in
the focus of interesting in power system operation. Power quality measures the fitness of electrical power to consumer devices.
In this thesis, it is aim to develop and investigate new procedures to efficient monitoring and enhancing of the power quality which affects on both power suppliers and consumers to sustain a good enough voltage quality and system stability.
Modern optimization techniques are presented such as: particle swarm
optimization, ant colony algorithm….etc. However, the SCADA system is used to transfer all the information measurements for power system such as: bus voltages, power flows in transmission lines, frequency,… etc to the control center of power systems.
from this information, particle swarm optimization technique is used as an
optimization technique to achieve more than one objective function as multioptimization technique.
The fuzzy clustering technique is proposed to classify the distribution nodes relies on their relationship to their feeder section. This technique is utilized to divide the network into some sectionalized sub-networks to choose which the switches are opened and closed. This procedure helps the system operator to reduce the power losses and improve the voltage profile for the power distribution networks.
This thesis presents the impact of distributed generation on the distribution networks. Two objective functions are proposed, which are: minimizing the cost of distributed generations and achieving the lowest voltage deviation compared to the flat voltage (1.0 p.u), while the system constrains are satisfied.
Also, in this thesis, the impact of capacitor banks on the distribution networks is presented. Five objective functions are proposed, which are: minimizing of active power losses cost, minimizing of energy losses cost, minimizing of voltage deviation, minimizing of capacitor banks cost and maximizing of feeder power factor, which the system constrains are satisfied.
Four real test systems are applied to show the capability of the proposed
procedure in the distribution networks.