الفهرس 
Chapter One - Literature reviewOnly 14 pages are availabe for public view
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Abstract
Wind energy as an alternative to fossil fuels, is plentiful, renewable, really distributed, clean, produces no greenhouse gas emissions during operation. Wind energy generation has attracted much interest in the last few years in modeling and control for smart Grid Systems. Wind energy systems are ideally suited for distributed generation systems especially in Egypt to try to solve the energy crisis However, wind data insufficiency is a problem facing installations of new wind farms for electricity generation. Recent studies show an exponential increase in the worldwide installed wind systems,. Therefore, estimation of wind energy in Egypt using new developed Artificial Neural Network (ANN) model to calculate the wind energy potential available in Egypt all over the year is the purpose of this study. This is conducted on real data from 17 wind stations in Egypt along the Mediterranean Sea and Red Sea. Wind speed data from 15 locations used to create ANN model and data from 2 locations (MarsaMatrouh, Hurghada) used for testing the validity of the model. Wind data of Al-Shourok city; from The British University in Egypt (BUE) weather station was collected by the author in order to evaluate the effectiveness of the developed model. Results proved that ANN model error does not exceed ±7% for average wind speed which is acceptable. The estimated possible outputs energy using Repower MM 82 are 10GW.h/y, 11.4GW.h/y, 5GW.h/y for MarsaMatrouh ,Hughada and Al-shourok respectively.