Resilience optimization and dynamic stability defense in active distribution networks under extreme disasters: a graph learning and cooperative control approach

IntroductionThe escalating integration of high-penetration renewable energy sources introduces severe dynamic stability challenges-such as low inertia and fast transients-to modern power systems, particularly in the context of Active Distribution Networks (ADNs). These vulnerabilities are critically...

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Autori principali:	Chutao Zheng, Wei Li, Xinsen Yang, Diwei Lin, Hao Bai, Guowei Guo
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2026-01-01
Serie:	Frontiers in Energy Research
Soggetti:	dynamic stability renewable energy integration active distribution networks cascading failure graph learning cooperative optimization
Accesso online:	https://www.frontiersin.org/articles/10.3389/fenrg.2025.1719359/full
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