A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.
Kandil, M., El-Maghraby, M., El-Dosouky, H. (1978). A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.. EKB Journal Management System, 3(2), 49-61. doi: 10.21608/bfemu.2021.183611
Mahmoud Saber Ahmed Kandil; M. H. El-Maghraby; H. El-Dosouky. "A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.". EKB Journal Management System, 3, 2, 1978, 49-61. doi: 10.21608/bfemu.2021.183611
Kandil, M., El-Maghraby, M., El-Dosouky, H. (1978). 'A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.', EKB Journal Management System, 3(2), pp. 49-61. doi: 10.21608/bfemu.2021.183611
Kandil, M., El-Maghraby, M., El-Dosouky, H. A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.. EKB Journal Management System, 1978; 3(2): 49-61. doi: 10.21608/bfemu.2021.183611

A Proposed Methodology for Medium-Range Maximum Demand Anticipation and Application.

MEJ- Mansoura Engineering Journal
Article 4, Volume 3, Issue 2, December 1978, Page 49-61  XML PDF (122.99 K)
Document Type: Research Studies
DOI: 10.21608/bfemu.2021.183611
View on SCiNiTO View on SCiNiTO
Authors
Mahmoud Saber Ahmed Kandil* 1; M. H. El-Maghraby2; H. El-Dosouky3
1Head of Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
2Assistant Professor., Electrical Engineering Department., Faculty of Engineering., El-Mansoura University., Mansoura., Egypt.
3Electrical Engineer at Electrical Distribution Company at Tanta.
Abstract
One to three years anticipation of monthly and weakly peak demand are required to: prepare maintenance schedules, develop power pooling agreements, select peaking capacity and provide data required certain reliability coordinating centers. The total monthly forecast of the maximum demand (m.d.) is deduced and computed along the future three years till April 1981. This is accomplished for a one of vital important electrical network in EGYPT. The anticipation is executed for El-Mehalla El-Kubra City network has an industrial and residential daily load characteristics Direct monthly m.d. forecasting is executed by separate treatment of non-weather (NW) and weather-induced (W) DEMAND. The forecast required is derived through this paper by two methodologies: the probabilistic extrapolation – correlation and that suggested by the authors Date collected for our work is the daily and monthly data for more reliable determination of weather load models. Complete analysis, discussions and comments on the results are exhibited. An entire comparison reveals an acceptable and reasonable percentage error obtained on applying the proposed methodology.
Statistics
Article View: 61
PDF Download: 87