Tuar—Transitory—Instabilità ( T ² i ): An ML-Based Framework to Predict Transient Instability in a 7-Power Plant Network-Reference-Cited by-同舟云学术

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Tuar—Transitory—Instabilità ( T ² i ): An ML-Based Framework to Predict Transient Instability in a 7-Power Plant Network

Published:2024 Issue: Volume:12 Page:90552-90560
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Khan Rizwan¹^ORCID,Saqib Muhammad Asghar¹^ORCID,Wajid Bilal²^ORCID,Nzanywayingoma Frederic³^ORCID,Hashmi Khurram⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Engineering and Technology Lahore, Lahore, Pakistan

2. Dhanani School of Science and Engineering, Habib University, Karachi, Pakistan

3. Department of Information Systems, College of Science and Technology, University of Rwanda, Kigali, Rwanda

4. School of Electrical and Electronic Engineering, University College Dublin, Dublin 4, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10571947.pdf?arnumber=10571947

Reference37 articles.

1. Situational awareness of coherency behavior of synchronous generators in a power system with utility-scale photovoltaics

2. Instability detection and prevention in smart grids under asymmetric faults

3. A study and evaluation of power outages on 132 kV transmission network in Nigeria for grid security;Okoye;Int. J. Eng. Sci.,2019

4. Analysis of Dynamic Voltage Fluctuation Mechanism in Interconnected Power Grid with Stochastic Power Disturbances

5. Stability conditions for infinite networks of nonlinear systems and their application for stabilization

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