Dr Muhammad Hammad Saleem M.H.Saleem@salford.ac.uk
Lecturer in Computer Science (AI)
Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network
Saleem, Muhammad Hammad; Uddin, Riaz
Authors
Riaz Uddin
Abstract
In distribution network of smart grid there are various type of fault occur in the network, which are challenge for the control system to identify its type of fault, location and restore the network automatically. In this paper we applied neural network to determine type of fault in order to do predictive maintenance and recover the network as early as possible depending on the fault type. The paper also presents the accuracy level of neural network model to determine the type of fault accurately at any mentioned condition and environment.
Citation
Saleem, M. H., & Uddin, R. (2019). Intelligent Control System to Identify Fault in Distribution Network of Smart Grid through Neural Network.
Conference Name | 4th International Electrical Engineering Conference |
---|---|
Conference Location | Karachi, Pakistan |
Start Date | Jan 25, 2019 |
End Date | Jan 26, 2019 |
Online Publication Date | Jan 25, 2019 |
Publication Date | Jan 25, 2019 |
Deposit Date | Feb 17, 2024 |
Related Public URLs | https://www.researchgate.net/publication/330400451_Intelligent_Control_System_to_Identify_Fault_in_Distribution_Network_of_Smart_Grid_through_Neural_Network |
You might also like
Weed Detection by Faster RCNN Model: An Enhanced Anchor Box Approach
(2022)
Journal Article
Downloadable Citations
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search