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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Autori principali:	Rizwan Khan, Muhammad Asghar Saqib, Bilal Wajid, Frederic Nzanywayingoma, Khurram Hashmi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IEEE 2024-01-01
Serie:	IEEE Access
Soggetti:	Renewable energy sources large-scale integration power system transients transient analysis power system stability machine learning
Accesso online:	https://ieeexplore.ieee.org/document/10571947/
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