Tuar&#x2014;Transitory&#x2014;Instabilit&#x00E0; (<bold><italic>T</italic></bold>&#x00B2;<bold><italic>i</italic></bold>): An ML-Based Framework to Predict Transient Instability in a 7-Power Plant Network

With the expansion in recent power systems, the boost in renewable energy resources with multiple interconnections, overloading of existing power networks, increased load growth, and equipment failures, power system transient instability issues have exponentially increased. Transient stability in po...

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Bibliografski detalji

Glavni autori:	Rizwan Khan, Muhammad Asghar Saqib, Bilal Wajid, Frederic Nzanywayingoma, Khurram Hashmi
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Renewable energy sources large-scale integration power system transients transient analysis power system stability machine learning
Online pristup:	https://ieeexplore.ieee.org/document/10571947/
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