Estimation Scheme of 22kV Overhead Lines Power System Using ANN

Designing the 22 kV overhead lines is necessary to do by engineers with experience and this process is very complicate and takes long time because of it concerned with a lot of standards. Then this paper presents an Artificial Neural Network (ANN) of application in the 22 kV overhead line design. It helps to identify the main materials list and amount required for the installation and used in cost estimation of the project. The input data for designing are 1) Rated of transformer 2) Total distance of expanded distribution line 3) Number of right angle point of cable in the system requires no building blocking the expansion line. The outputs of ANN are the main materials list and amount the data used to training ANN are come from Installation Standard of PEA. The satisfactory results tested by PEA engineer were provided with an accurate and short time consuming than conventional method.