By Topic

Application of artificial neural network in protective relaying of transmission 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

3 Author(s)
Khaparde, S.A. ; Dept. of Electr. Eng., Indian Inst. of Technol., Bombay, India ; Kale, P.B. ; Agarwal, S.H.

That the artificial neural network (ANN) can perform the pattern classification in excellent fashion is already established in the literature. The authors envisage the relay as a pattern classifying device. This opens a new dimension in relay philosophy which needs wide investigations. Keeping the microprocessor relay framework intact, the authors report the findings about the feasibility of using ANN in protection of transmission lines. The ADALINE model is explored for the application and is found to yield encouraging results. The input variables are quantified over the operating range which eases the arithmetics of the microprocessor. The training is performed in off-line mode and the converged weight matrix is stored for on-line use

Published in:

Neural Networks to Power Systems, 1991., Proceedings of the First International Forum on Applications of

Date of Conference:

23-26 Jul 1991