An Intelligent Fault Detection and Faulty Line Identification Scheme for Hybrid Microgrid using Ensemble of kNN approach-Reference-Cited by-同舟云学术

An Intelligent Fault Detection and Faulty Line Identification Scheme for Hybrid Microgrid using Ensemble of kNN approach

Published:2022-03-01 Issue: Volume: Page:
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Container-title:2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)
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Author:

Kumar Amit¹,Koley Ebha¹,Rameshrao Awagan Goyal¹

Affiliation:

1. National Institute of Technology,Dept. of Electrical Engineering,Raipur,INDIA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9776593/9776643/09777035.pdf?arnumber=9777035

Reference18 articles.

1. Enhancing the reliability of protection scheme for PV integrated microgrid by discriminating between array faults and symmetrical line faults using sparse auto encoder;murli;IET Renewable Power Generation,2019

2. Wavelet Based Artificial Neural Networks for Detection and Classification of DC Microgrid Faults

3. A superimposed current based unit protection scheme for DC microgrid;rabindra;IEEE Transactions on Smart Grid,2018

4. WT and DT-based Protection Scheme for Hybrid Microgrid System;goyal;2021 International Conference on Computer System Information Technology and Electrical Engineering (COSITE),2021

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