Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: Insights and recommendations-Reference-Cited by-同舟云学术

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Investigating the potential of Machine Learning for fault location on Inverter-Based Resource interconnection lines: Insights and recommendations

Published:2024-06 Issue: Volume:231 Page:110366
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Davi Moisés J.B.B.^ORCID,Iscuissati Rodrigo de B.^ORCID,Oleskovicz Mário^ORCID,Lopes Felipe V.

Publisher

Elsevier BV

Reference46 articles.

1. Impact of inverter based generation on bulk power system dynamics and short-circuit performance;Jones;IEEE Power Energy Soc. Tech. Rep.,2018

2. Review on renewable energy source fault characteristics analysis;Bi;CSEE J. Power Energy Syst.,2022

3. Fault Current and Fault Voltage Analysis of Power Transmission Systems with High Penetration of Inverter-Based Wind Generators;Davi,2022

4. Transient fault current analysis of IIRESs considering controller saturation;Jia;IEEE Trans. Smart Grid,2022

5. Impact of inverter-based resources on protection schemes based on negative sequence components;Haddadi,2019

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