COMPARISON BETWEEN TWO METHODS OF PREDICTION OF ELECTRIC POWER GENERATION FROM WIND POWER

Document Type : Original Article

Authors

1 Electrical Information Department, Ministry of Electricity and Renewable Energy, Cairo, Egypt

2 Electrical Power and Machines Engineering Department, Ain Shams University, Cairo, Egypt

3 Electrical Power and Machines Engineering Department, Ain Shams University, Cairo, Egypt2

Abstract

More growth of wind power generation that will be established in Egypt in the coming years has highlighted the importance of wind power prediction. However, wind power is very difficult for modelling and forecasting. Despite the performed research works in the area, more efficient wind power forecast methods are still demanded. In this paper, two methods of prediction of electric power generation from wind power are presented. The first method is by using the artificial neural network for prediction of power generation in the next 10 minutes base on wind speed prediction input from weather authorities. The second method is by using poly fit function to perform regression on wind power by using MATLAB  program in Zafarana site. For optimum generation management strategy, the capacity credit will be used by the best selected method of prediction of the wind power for Gabal El-zeit site of future wind farm.

Keywords

Journal of Al-Azhar University Engineering Sector
Volume 11, Issue 38
January 2016
Pages 159-163

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