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

Conference paper (2022)

Authors

Robert Ross IWO (Inst. for Science & Development / Inst. voor Wetenschap & Ontwikkeling), DC systems, Energy conversion & Storage - EEMCS
P.A.C. Ypma DC systems, Energy conversion & Storage - EEMCS , 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 (EEMCS) (TU Delft)
Copyright: © 2022 Robert Ross, P.A.C. Ypma, Gerben Koopmans
DOI: https://doi.org/10.1109/SoutheastCon48659.2022.9764082
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

DC systems, Energy conversion & Storage

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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