Faulted Section Identification and Fault Location in Power Network Based on Histogram Analysis of Three-phase Current and Voltage Modulated-Reference-Cited by-同舟云学术

Faulted Section Identification and Fault Location in Power Network Based on Histogram Analysis of Three-phase Current and Voltage Modulated

Published:2022-04-07 Issue:5 Volume:17 Page:2631-2647
ISSN:1975-0102
Container-title:Journal of Electrical Engineering & Technology
language:en
Short-container-title:J. Electr. Eng. Technol.

Author:

Dashtdar Masoud,Sarada K.,Hosseinimoghadam Seyed Mohammad Sadegh,Kalyan C. H. Naga Sai,Venkateswarlu A. N.,Goud B. Srikanth^ORCID,Reddy C. H. Rami,Belkhier Youcef,Bajaj Mohit,Reddy B. Nagi

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering

Link

https://link.springer.com/content/pdf/10.1007/s42835-022-01079-2.pdf

Reference25 articles.

1. Dashtdar M, Hosseinimoghadam SMS, Dashtdar M (2021) Fault location in the distribution network based on power system status estimation with smart meters data. Int J Emerg Electric Power Syst. https://doi.org/10.1515/ijeeps-2020-0126

2. DMasoud, RDashti, and HR Shaker (2018) “Distribution network fault section identification and fault location using an artificial neural network. In: 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE). IEEE

3. Dashtdar M (2018) Fault location in distribution network based on fault current analysis using artificial neural network. Mapta J Electric Comput Eng (MJECE) 1(2):18–32

4. Dashti R, Sadeh J (2014) Fault section estimation in power distribution network using impedance-based fault distance calculation and frequency spectrum analysis. IET Gener Transm Distrib 8(8):1406–1417

5. Lopes FV, Kusel BF, Silva KM (2016) Traveling wave-based fault location on half-wavelength transmission line. IEEE Latin Am Trans 14:248

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