Detection and Identification of Generator Disconnection Using Multi-layer Perceptron Neural Network Considering Low Inertia Scenario-Reference-Cited by-同舟云学术

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Detection and Identification of Generator Disconnection Using Multi-layer Perceptron Neural Network Considering Low Inertia Scenario

Published:2022-06-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)
language:
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Author:

Verduzco Alejandro¹,Balsa Paula Paramo²,Gonzalez-Longatt Francisco³,Andrade Manuel A.¹,Montalvo Martha Nohemi Acosta³,Torres Jose Luis Rueda⁴,Palensky Peter⁴

Affiliation:

1. School of Mechanical and Electrical Engineering, Universidad Autónoma de Nuevo León,Monterrey,México

2. Universidad de Sevilla,Department of Electrical Engineering,Seville,Spain

3. University of South-Eastern Norway,Information Technology and Cybernetics,Department of Electrical Engineering,Porsgrunn,Norway

4. Energy Delft University of Technology,Department of Electrical Sustainable,Delft,The Netherlands

Funder

CONACYT (Mexico)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9831187/9831454/09831751.pdf?arnumber=9831751

Reference29 articles.

1. The Anatomy of the 2016 South Australia Blackout: A Catastrophic Event in a High Renewable Network

2. ‘Massive Failure’ in Power Grid Causes Blackout in Argentina and Uruguay-The New York Times;politi;The New York Tunes,2019

3. Power Converters Dominated Power Systems

4. Optimal Frequency Support of Variable-Speed Hydropower Plants at Telemark and Vestfold, Norway: Future Scenarios of Nordic Power System

5. FAPI Controller for Frequency Support in Low-Inertia Power Systems

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