LONG-TERM LOAD FO.RJXASTING AND ECONOMICAL OPERATION OF WIND FARMS FOR EGYPTIAN ELECTRICAL NETWORK | ||||
| ERJ. Engineering Research Journal | ||||
| Article 3, Volume 30, Issue 1, January 2007, Page 17-24 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2007.69891 | ||||
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| Authors | ||||
| S. M. Allam; G. M. Atta; A. A. Abou El-Ela; A. A. El-Zefiawy | ||||
| E!ectrical Engineering Dept.. Fac~rlp qfEng.. Shebin El-Kom, Egypt. | ||||
| 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 | ||||
| Long-term load forecasting; Artificial neural network- economical operation of wind farms | ||||
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