الفهرس 
INTRODUCTIONOnly 14 pages are availabe for public view
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Abstract
Global climatic changes and searching for reliable and environmentally friendly resources have directed many countries towards renewable energy sources. Among these sources; wind energy and solar photovoltaic (PV) systems are the most popular resources. Micro-grids are a combination of renewable sources that may work isolated or connected to the grid. Isolated micro-grids are used for electrification of remote areas such as the example studied in this thesis. Electrification of remote areas with limited or no connection with the electric grid is one of the most important issues nowadays.
This thesis aims at analyzing the application of PV, wind turbines (WTs) and battery energy storage system in a stand-alone hybrid power generation system for remote tourist area in Egypt-Sinai called Ras-Shaitan. The system is modelled by HOMER and the meteorological data for studied area is based on NASA website. HOMER is applied to obtain the best optimal system and economic analysis is performed. Moreover, particle swarm optimizer (PSO) and grey wolf optimizer (GWO) are examined on the same problem and the results are compared to those obtained by HOMER. GWO based results are the most economic and more reliable.
HOMER modelled the system and picked an optimal combination of 476 PV units of 265W and 10 WT units of 10 kW with storage of 336 units of 1000 AH battery and 52 kW converter (2 units of 26 kW). This system has cost of energy (COE) of 0.118 $/kWh. While, GWO results save about 17% of COE for a system of 420 units of PV, 7 WTs, 336 battery units and 78 kW converter. The results obtained by GWO are compared by PSO results with various loss of power supply probability (LPSP) of zero, 2% and 5%. The results obtained by GWO is more economical than that obtained by PSO at all values of LPSP.