@inproceedings{de23a376ab8a4c4cba8763e8562b414b,
title = "Optimal Power Cable for Smart Grids",
abstract = "This paper investigates the calculation of ampacity values of medium voltage cable in an unfavorable burial method. The ampacity values are obtained using the International Electro-technical Commission (IEC) 60287 for all ac voltages with a 100% load factor in ducts, pipes, trenches. The cables are obtained from Leading Solution (LS) cable data sheet which provides the values for parameters needed to calculate the ampacity. The ampacity values are analyzed with constant and varying ambient temperature and burial depth. An Artificial Neural Network (ANN) is created to allow users to input a cables voltage and ampacity values in different situations to obtain an output of parameters for that specific cable. Ampacity value calculations showed an 8-15% difference from listed to those calculated. The regression factor of the ANN was around 0.996 and the overall error for all fourteen outputs was at maximum between 1-2%.",
keywords = "Ampacity, Cables, International Electro-technical Commission, Medium voltage, Neural Networks",
author = "Adel El-Shahat and Ii, {Vincent Faison} and Haddad, {Rami J.} and Mohammad Ahad",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE SoutheastCon, SoutheastCon 2019 ; Conference date: 11-04-2019 Through 14-04-2019",
year = "2019",
month = apr,
doi = "10.1109/SoutheastCon42311.2019.9020566",
language = "English",
series = "Conference Proceedings - IEEE SOUTHEASTCON",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 IEEE SoutheastCon, SoutheastCon 2019",
address = "United States",
}
