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On-line determination of transient stability status using multilayer perceptron neural network Cover

On-line determination of transient stability status using multilayer perceptron neural network

Journal of Electrical Engineering
Volume 69 (2018): Issue 1 (January 2018)
By: Emmanuel Asuming Frimpong,  Philip Yaw Okyere and  Johnson Asumadu  
Open Access
|Mar 2018

Authors

Emmanuel Asuming Frimpong

eafrimpong.soe@knust.edu.gh

Department of Electrical and Electronic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Philip Yaw Okyere

Department of Electrical and Electronic Engineering, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Johnson Asumadu

Department of Electrical and Computer Engineering, Western Michigan University, Kalamazoo
DOI: https://doi.org/10.1515/jee-2018-0008 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
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Language: English
Page range: 58 - 64
Submitted on: Dec 14, 2017
|
Published on: Mar 7, 2018
Published by: Slovak University of Technology in Bratislava
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year
Keywords:
power system stability,
stability prediction,
transient stability,
out-of-step,
neural network,
Euclidean norm
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2018 Emmanuel Asuming Frimpong, Philip Yaw Okyere, Johnson Asumadu, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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