Predictions of the Electric Field Emissions around Power Transmission Lines by Using Artificial Neural Network Methods

Authors

  • H. Feza Carlak Deparments of Electrical and Electronics Engineering, Akdeniz University, Antalya 07058, Turkey
  • Şükrü Özen Deparments of Electrical and Electronics Engineering, Akdeniz University, Antalya 07058, Turkey
  • Süleyman Bilgin Deparments of Electrical and Electronics Engineering, Akdeniz University, Antalya 07058, Turkey

Keywords:

Power Transmission Lines, Electric Field Emissions, Artificial Neural Network Algorithms.

Abstract

In this study, Artificial Neural Network (ANN) Algorithms are used to estimate the electric field that occurred around the power transmission lines as an alternative approach.  Firstly, electric field levels around the high voltage power transmission lines are measured, and then analytically calculated. Moreover, the field levels that occurred around these power lines have been predicted by using multilayer perceptron artificial neural network, radial basis function, and generalized regression neural network models. In the paper, 154 kV typical power transmission line used in Turkey are studied. Electric field levels occurred around the power transmission lines have been predicted with ANN models with high accuracy, particularly MLPNN algorithm predicted the electric field intensity with very high precision.

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Published

2016-01-13

How to Cite

Carlak, H. F., Özen, Şükrü, & Bilgin, S. (2016). Predictions of the Electric Field Emissions around Power Transmission Lines by Using Artificial Neural Network Methods. American Scientific Research Journal for Engineering, Technology, and Sciences, 15(1), 210–226. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/1284