الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Up till recently past electric power systems were characterized by centralized production units, a high voltage transmission grid for the bulk energy transmission and medium and low voltage distribution grids to bring the energy to the consumer. Traditionally no generation sources were connected to the distribution grid, however, this has changed significantly the past decade. Nowadays various types of small generation sources, better known as Distributed Generation (DG), are connected to the distribution grid. Due to CO2 reduction goals many of the small units integrated in the distribution grid are renewable energy sources, such as wind turbines, small-scale hydro plants and photovoltaic panels but also high efficient non-renewable energy sources, such as small Combined Heat and Power (CHP) plants are implemented.The connection of distributed generators to distribution networks greatly influences the performance and stability of such networks. The general purpose of this thesis is to investigate and attempt to resolve some of the impacts of connecting distributed generators to distribution networks. Among the various problems that associate the DG integration with general utilities, this thesis is focused on a particular protection problem; namely fuse-reclose mis-coordination. The problem will be thoroughly defined and studied, and possible solutions will be proposed and investigated. This thesis investigates a case study which demonstrates the fuse- recloser coordination and how to use neural networks to help the system operator to maintain the reliable operation of the power systems penetrated with distributed generators. Finally, this thesis attempts to develop ANN so as it copes with different distribution systems, as far as the system sizes and operating conditions are concerned.