LONG-TERM LOAD FO.RJXASTING AND ECONOMICAL OPERATION OF WIND FARMS FOR EGYPTIAN ELECTRICAL NETWORK

Allam, S. M.; Atta, G. M.; Abou El-Ela, A. A.; El-Zefiawy, A. A.

doi:10.21608/erjm.2007.69891

LONG-TERM LOAD FO.RJXASTING AND ECONOMICAL OPERATION OF WIND FARMS FOR EGYPTIAN ELECTRICAL NETWORK

Document Type : Original Article

Authors

E!ectrical Engineering Dept.. Fac~rlp qfEng.. Shebin El-Kom, Egypt.

10.21608/erjm.2007.69891

Abstract

Many of traditional methods have been presented for long-term load forecasting of electrical
power systems. But, the results of these methods are approximated. Therefore, artificial neural
network (ANN) technique for long-term peak load forecasting is modified and discussed as a
modern technique in long-term load forecasting. The modified technique is applied on the
Egyptian electrical network dependent on its historical data to predict the electrical peak load
demand forecasting up to year 2017. This technique is compared with extrapolation of trend
curves as a traditional method. Installed power generation capacities of Egyptian electrical
network up to year 2017 are estimated dependent on the peak load forecasting of this network.
Also, a proposed methodology to assess the economical operation of WFs beside conventional
power system (CPS) is introduced. This methodology includes a mathematical mode1 to develop
the economical operation of wind farms on the whole power generation system capacity though
the considered period.

Keywords