Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks-Reference-Cited by-同舟云学术

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Fast Transient Stability Assessment of Power Systems Using Optimized Temporal Convolutional Networks

Published:2024 Issue: Volume:5 Page:267-282
ISSN:2644-1241
Container-title:IEEE Open Journal of Industry Applications
language:
Short-container-title:IEEE Open J. Ind. Applicat.

Author:

Massaoudi Mohamed¹^ORCID,Zamzam Tassneem¹^ORCID,Eddin Maymouna Ez¹^ORCID,Ghrayeb Ali²^ORCID,Abu-Rub Haitham²^ORCID,Refaat Shady S.³^ORCID

Affiliation:

1. Department of Electrical Engineering, Texas A&M University, College Station, TX, USA

2. Department of Electrical Engineering, Texas A&M University Qatar, Doha, Qatar

3. School of Physics, Engineering, and Computer Science, University of Hertfordshire, Hatfield, U.K.

Funder

Qatar National Research Fund

Qatar Foundation

Qatar National Library

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8782707/10402037/10592636.pdf?arnumber=10592636

Reference54 articles.

1. Definition and Classification of Power System Stability – Revisited & Extended

2. Potential-Based Large-Signal Stability Analysis in DC Power Grids With Multiple Constant Power Loads

3. A Preventive Dispatching Method for High Wind Power-Integrated Electrical Systems Considering Probabilistic Transient Stability Constraints

4. On the Stability of the Power Electronics-Dominated Grid: A New Energy Paradigm

5. Transient stability prediction of power system; a review on methods, classification and considerations

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