Probabilistic impact assessment of lightning strikes on power systems incorporating lightning protection design and asset condition

Laiz Souto, Philip C Taylor, Jonathan Wilkinson

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)

Abstract

Lightning strikes may result in widespread power outages with long supply interruption times and severe impacts to economy and society. To prevent this from happening now and in the future, power system planning and operation practices must be revisited so that the probability of outages caused by lightning strikes can be reduced. In this context, this article presents a probabilistic framework for impact assessment of lightning strikes on the grid which investigates power system exposure to lightning strikes. This new framework incorporates information about failure rates attributed to lightning protection system design and asset condition together with the probability of lightning activity over time for a probabilistic impact assessment of lightning strikes on the grid. Notably, the probability of lightning activity is conditioned by information about weather patterns and seasons obtained through collaboration with the Met Office. Furthermore, it is demonstrated in the reduced 29-bus Great Britain transmission system model with weather data collected from 2010 to 2019 and validated against historical fault data recordings provided by the National Grid’s Transmission System Performance Reports and by the National Fault Interruption Reporting Scheme. Therefore, the framework is envisaged to assist power system planners to investigate best design and maintenance practices and grid modernization interventions and power system operators to deploy smart operational measures that reduce the probability of power outages caused by lightning strikes.
Original languageEnglish
Article number108974
Number of pages14
JournalInternational Journal of Electrical Power and Energy Systems
Volume148
Early online date18 Jan 2023
DOIs
Publication statusPublished - 1 Jun 2023

Acknowledgements

We acknowledge that this work benefits from discussion and collaboration with Met Office and would like to thank Dr. Robert Neal for deriving the daily weather patterns. We would also like to thank the Energy Networks Association and its member organizations for providing their NaFIRS data, as well as Dr. David Greenwood, Dr. Ilias Sarantakos, Dr. Francisca Jalil-Vega, and the reviewers for their valuable comments and suggestions which helped us to improve the quality of our manuscript.

Keywords

  • Extreme weather
  • Lightning protection
  • Power system faults
  • Power transmission
  • Shielding failure
  • Substation
  • Transmission line

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