Estimation of the Consumer Peak Load for the Iraqi Distribution System Using Intelligent Methods
American Journal of Electrical Power and Energy Systems
Volume 2, Issue 5, September 2013, Pages: 111-115
Received: Jun. 5, 2013;
Published: Aug. 20, 2013
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M. A. Al-Nama, Department of Comp. Engg.Tech. Al Hadbaa Univ. College
M. S. Al-Hafid, Department of Electrical Engineering, Mosul University, Mosul- IRAQ
A. S. Al-Fahadi, Department of Electrical Engineering, Mosul University, Mosul- IRAQ
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The drastic increase of residential load consumption in recent years result in over loading feeder lines and transformers for the Iraqi northern area distribution system especially in the city of Mosul. Solution for this problem require up to date research study consumers load to find the proper solution to stop excess overload in the transformers and the feeders. This paper include the regional survey for samples of consumers representing typical types of different standard of living and energy consumption by distributing questioners contain list of information such as load type in daily use. Also current readings are recorded for the individual consumer for the months of the year 2006. In addition to those readings, energy consumption is recorded once every two months. The registered readings are used in conjunction with the list of questioners to find a sample (for different loads) that coincide with the list of questioner for current and energy readings. Resulting in the feasibility of using the sample to know the peak value of current for any consumer not included in the list of questioner and for any new consumer, since it become possible to decide the size of the transformers and feeder lines, to overcome the problem of overloading in any part of the distribution system. The Artificial Neural Network (ANN) is used in this paper to find the above mentioned sample.
Consumer Peak Load, ANN, Distribution System, Iraqi Distribution Network
To cite this article
M. A. Al-Nama,
M. S. Al-Hafid,
A. S. Al-Fahadi,
Estimation of the Consumer Peak Load for the Iraqi Distribution System Using Intelligent Methods, American Journal of Electrical Power and Energy Systems.
Vol. 2, No. 5,
2013, pp. 111-115.
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