Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

GRNN applied to study the Lightning Shielding Performance for EHV&UHV Transmission Line

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

6 Author(s)
Deng Wei ; Hunan EHV Transm. & Substation Co., Changsha ; Lan Lei ; Peng Xudong ; Fu Zhiyang
more authors

Lightning shielding failure is the main factor to threat the safety and reliability of EHV transmission lines. In this paper, the small-scale model experiments of lightning shielding performance of EHV transmission lines were made, taking the various influencing factors into account, including protection angle alpha , the gradient of the hillside thetas, the height of the gully H , the conductor potential U , non-vertical leader angle beta and the position of lightning stroke point (X,y) , showing the lightning stroke probability Pa has the hidden non-linear function relation with the factors above. Due to the fact that the generalized regression neural network (GRNN) has several advantages over the back-propagation network (BP) such as very short training time and guaranteed performance even with sparse data, it is applied to simulate the complex non-linear function relationship between the lightning stroke probability Pa and these various influencing factors. A lot of simulation was carried out in Matlab and the feasibility and accuracy of the proposed GRNN are verified.

Published in:

Power System Technology, 2006. PowerCon 2006. International Conference on

Date of Conference:

22-26 Oct. 2006