Verifying Machine Learning conclusions for securing Low Inertia systems-Reference-Cited by-同舟云学术

Verifying Machine Learning conclusions for securing Low Inertia systems

Published:2022-06 Issue: Volume:30 Page:100656
ISSN:2352-4677
Container-title:Sustainable Energy, Grids and Networks
language:en
Short-container-title:Sustainable Energy, Grids and Networks

Author:

Bellizio Federica^ORCID,Bugaje Al-Amin B.^ORCID,Cremer Jochen L.^ORCID,Strbac Goran

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference36 articles.

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2. Achieving a 100% renewable grid: Operating electric power systems with extremely high levels of variable renewable energy;Kroposki;IEEE Power Energy Mag.,2017

3. On the inertia of future more-electronics power systems;Fang;IEEE J. Emerg. Sel. Top. Power Electron.,2018

4. Foundations and challenges of low-inertia systems;Milano,2018

5. Definition and classification of power system stability – revisited amp; extended;Hatziargyriou;IEEE Trans. Power Syst.,2021

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