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Data Analytics for Grid Resilience with Early Failures and Wear-out Failures

Conference Paper (2022)
Author(s)

Robert Ross (IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling), TU Delft - DC systems, Energy conversion & Storage)

Peter A.C. Ypma (TU Delft - DC systems, Energy conversion & Storage, IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling))

Gerben Koopmans (IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling))

Research Group
DC systems, Energy conversion & Storage
DOI related publication
https://doi.org/10.1109/SoutheastCon48659.2022.9764082 Final published version
More Info
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Publication Year
2022
Language
English
Research Group
DC systems, Energy conversion & Storage
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.
Pages (from-to)
575-582
ISBN (electronic)
978-1-6654-0652-9
Event
SoutheastCon 2022 (2022-03-26 - 2022-04-03), Mobile, United States
Downloads counter
245
Collections
Institutional Repository
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Abstract

The here reported work is part of a project on supporting grid resilience by asset management techniques. The present work focuses on support of decision-making after a few failures occurred that may be the start of many more. Methods are reviewed and new algorithms developed where the present IEEE/IEC standard does not provide. Two cases of early failures and wear-out are analyzed as examples for the data analytics.

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