Non-linear high impedance fault distance estimation in power distribution systems: A continually online-trained neural network approach
- 1 April 2018
- journal article
- research article
- Published by Elsevier in Electric Power Systems Research
- Vol. 157, 20-28
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- High impedance fault location in 11kV underground distribution systems using wavelet transformsInternational Journal of Electrical Power & Energy Systems, 2014
- High‐impedance fault location using matching technique and wavelet transform for underground cable distribution networkIEEJ Transactions on Electrical and Electronic Engineering, 2014
- High Impedance Faults: From Field Tests to ModelingJournal of Control, Automation and Electrical Systems, 2013
- A new fault location algorithm for radial distribution systems using modal analysisInternational Journal of Electrical Power & Energy Systems, 2013
- Approaches in High Impedance Fault Detection - A Chronological ReviewAdvances in Electrical and Computer Engineering, 2010
- Transmission Line Distance Relaying Using On-Line Trained Neural NetworksIEEE Transactions on Power Delivery, 2005
- Training feedforward networks with the Marquardt algorithmIEEE Transactions on Neural Networks, 1994
- High impedance fault arcing on sandy soil in 15 kV distribution feeders: contributions to the evaluation of the low frequency spectrumIEEE Transactions on Power Delivery, 1990
- Ground resistance-revisitedIEEE Transactions on Power Delivery, 1989
- An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of the Society for Industrial and Applied Mathematics, 1963