الفهرس 
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Abstract
The aim of this thesis is to design and analyze the hybrid WTG/PV/FC Electrical Power System integrated with UG using Artificial Intelligence and optimization techniques.
Reduction of fossil fuels and the attendant climate change have compelled nations to seek clean energy production. Accordingly, renewable energies have been regarded as the most attractive solutions [1]. The total installed wind generation capacity worldwide is 47,000 MW in the year 2004. The wind generation in Europe alone is about 33,600 MW in 2004 [2]. Egypt targets to increase the installed capacity to reach 1750 MW by the end of 2017, more than 750 MW will be undertaken by private sector [3].
This Thesis studies the design and operation of Wind Energy System, (WES), interconnected with Utility Grid (UG). It presents a proposed software to determine the optimal strategy to integrate the WES with UG. The planned strategy is planned to regulate the optimal units of Wind Turbine Generators, (WTGs) needed to feed a certain load. Several WTG categories are studied in the designed program in order to indicate the best one among the WTG. Based on the designed program, the WES has been planned and interconnected to UG. This presented program consist of several subroutines. One of them can aid to determine the optimum procedure of WES. The optimal operation can also be strongminded at each hour in year. Formerly, the monthly surplus, monthly deficit energies and yearly taking from UG and/or exporting energy into UG are assessed. The pronouncement of the proposed strategy depends on minimization the price of the kWh for WES. The proposed computer program has been applied on two Egyptian sites. The first sit is Ras- Ghareb which located at coast of the Red sea and the second site is Ras- EL-Hekma which located at the coast of Mediterranean Sea.
Moreover, a Modified Farmland Fertility Optimization algorithm (MFFA) has been presented for optimal sizing of a grid connected hybrid system including photovoltaic (PV), wind turbines and fuel cell (FC). The system is optimal designed for providing access to clean, reliable and affordable energy by adopting hybrid power systems is important for countries looking to achieve their sustainable development goals. Modified Farmland Fertility Optimization algorithm is proposed in order to reduce the processing implementation time. The optimization method depends on the high reliability of the hybrid power supply, small fluctuation in the energy injected to the grid, and high utilization of the wind and solar complementary characteristics. Moreover, MFFA is applied to minimize the cost of energy while satisfying the operational constraints. A real case study of a hybrid power system Ataka, Egypt is introduced to evaluate the performance of the proposed optimization method. Moreover, a comprehensive comparison between the proposed MFFA optimization technique and the conventional Farmland Fertility technique (FFA) has been presented to validate the proposed MFFA.