1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: ijoee@ejournal.net.
2. Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication...[Read More]

Experimental Study of the Artificial Neural Network Solutions for Insulators Leakage Current Modeling in a Power Network

Ali Bahramiazar 1 and Mohammad Oskuoee 2
1. Instrumentation Department, W.A. E.P.D Company, Orumieh, Iran
2. High Voltage Department, Niroo Research Institute, Tehran, Iran

Abstract—The leakage current which flows through insulators is dependent on many different environmental variables like temperature, humidity, wind and pollution. The leakage current rate varies during a daily period; so the leakage current curve versus time in a 24 hour period will be nonlinear. Implementing field experiments in a Research Site, the leakage current peak amounts were collected in different intervals and using two neural network methods of Feed Forward BP algorithm and Radial Based Function, the relation between leakage current and variation of effective parameters of leakage current was studied in this paper and the most effective algorithm revealed.

Index Terms—ANN, environmental variables, insulator, leakage current

Cite: Ali Bahramiazar and Mohammad Oskuoee, "Experimental Study of the Artificial Neural Network Solutions for Insulators Leakage Current Modeling in a Power Network," International Journal of Electrical Energy, Vol. 2, No. 4, pp. 331-336, December 2014. doi: 10.12720/ijoee.2.4.331-336

Copyright © 2012-2018 International Journal of Electrical Energy, All Rights Reserved