الفهرس 
CHAPTER (1): INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
As in most developing countries, meeting the load demand and reducing transmissions grid bottlenecks remain major challenges for the energy sector especially in Egypt. Recently, research attention shifted to Demand Side Management (DSM) which is a very important tool that converts a consumer’s passive role to an active one by changing energy consumption and helps
the energy utilities to decrease the peak demand and reshape and flatten the load profiles to make the power system more efficient as it can save energy for both utility and consumption and avoid or delay the need to construct new generation units.. So, the main objective of this work is to improve the performance of the distribution networks based on DSM techniques. Firstly, this thesis investigates a detailed analysis of the impacts of three of the most important DSM techniques: energy efficiency, direct load control, and shifting load on daily consumption of an Egyptian residential house in Shebin El-Kom, Menoufia Governorate through two cases (one day in summer and one day in winter). The desired
objectives are reducing energy consumption, electricity bills, and peak to average ratio (PAR). Secondly, three different optimization techniques (Genetic Algorism, Particle Swarm Optimization and JAYA technique) are applied on residential area on Stadium Street in Shebin El-Kom in Menoufia governorate belonging to the South Delta Electricity Company to get the
best optimal results to achieve the previous objectives. Besides, a load reduction as one of the most popular techniques of DSM is suggested for applying on electric power networks based on sensitivity analysis to select the buses on which the load reduction will be performed. Furthermore, changes in hourly system loading are considered, and the impacts of these variations on the system’s performance are analyzed. Also,
the Monte Carlo Simulation (MCS) methodology has been utilized to consider the load uncertainties. The DSM has been effectively validated on two power distribution networks. The first one is the IEEE 33 bus as a standard system, while the second one is Shebin El Kom feeder Menoufia governorate-South Delta Electricity Company as a practical distribution network. Different indicators are used to assess the enhancement of the network’s performance. The presented results are valuable for system engineers and provide a useful base for assessing the performance of the present distribution networks.