Optimal Power Cable for Smart Grids

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 Electrotechnical 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%.