Cart (Loading....) | Create Account
Close category search window

Lightning performance assessment of overhead high voltage transmission lines using an artificial neural network method and its application to the Hellenic lines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Ekonomou, L. ; Electr. Power Dept., Nat. Tech. Univ. of Athens, Greece ; Iracleous, D.P. ; Gonos, I.F. ; Stathopulos, I.A.

This paper presents a novel approach to the lightning performance assessment of overhead high voltage transmission lines based on artificial neural networks (ANN). A feedforward (FF) ANN method was addressed which uses the Levenberg-Marquardt learning algorithm. Actual input and output data collected from operating Hellenic high voltage transmission lines such as the tower footing resistance, the peak lightning current, the lightning current derivative, the lightning level and the number of line's lightning failures were used in the training process. The method has been applied, on several operating Hellenic transmission lines of 150 kV and 400 kV, carefully selected among others due to their high failure rates during lightning thunderstorms. The obtained results were almost identical to the field observation data collected from the Hellenic Public Power Corporation and these obtained using conventional techniques. The presented methodology can be proved valuable to the studies of electric power systems designers, intended for more effective protection of high voltage transmission lines against lightning strikes.

Published in:

Universities Power Engineering Conference, 2004. UPEC 2004. 39th International  (Volume:1 )

Date of Conference:

8-8 Sept. 2004

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.