Spatial and temporal clustering of fault events on the GB transmission network

Euan Andrew Morris; Keith Bell; Ian Elders

doi:10.1109/PMAPS.2016.7764087

Spatial and temporal clustering of fault events on the GB transmission network

Euan Andrew Morris, Keith Bell, Ian Elders

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

149 Downloads (Pure)

Abstract

The UK is subject to changing weather patterns due to the global process of climate change. The full extent of these changes is not currently known; however, it is possible that the UK will be subject to more extreme or more frequent severe weather events (or both). As 50% of the faults on the transmission network in Britain are weather related it is likely that any change in weather patterns for the worse would increase the number of faults the network experiences. This paper describes a review of fault records in one region of the UK in order to understand the potential impact on system operation of clusters of weather related network faults. Based on the patterns of identified clusters, it suggests some potential impacts of climate change.

Original language	English
Pages	1-9
Number of pages	9
DOIs	https://doi.org/10.1109/PMAPS.2016.7764087
Publication status	Published - 5 Dec 2016
Event	2016 International Conference on Probabilistic Methods Applied to Power Systems - Beijing Friendship Hotel, Beijing , China Duration: 16 Oct 2016 → 20 Oct 2016 Conference number: 36214 http://www.pmaps2016.org/

Conference

Conference	2016 International Conference on Probabilistic Methods Applied to Power Systems
Abbreviated title	PMAPS 2016
Country/Territory	China
City	Beijing
Period	16/10/16 → 20/10/16
Internet address	http://www.pmaps2016.org/

Keywords

adverse or extreme weather
fault outages
GB transmission network
lightning
ice
snow
decision support systems
corrosion
climate change

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/PMAPS.2016.7764087

Morris-etal-PMAPS-2016-Spatial-and-temporal-clustering-of-fault-events-on-the-GBAccepted author manuscript, 653 KB

2 Finished

EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids
McArthur, S. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council), Northern Powergrid Limited, Frazer-Nash Consultancy Ltd, Scottish Hydro Electric Power Distribution PLC, S P Power Systems Ltd, UK Power Networks (Operations) Limited
1/04/14 → 31/03/23
Project: Research - Studentship
Power Networks Research Academy (PNRA) - Epsrc Contribution
McArthur, S. (Principal Investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/10/08 → 31/03/16
Project: Research - Studentship

SPEN Transmission Fault Data 1984-2011
Morris, E. (Owner) & Murray, K. (Creator), University of Strathclyde, 26 Jul 2017
DOI: 10.15129/02594e84-ec3f-456b-9b5c-30b1f0f5b94d
Dataset

4 Citations
1 Paper

Wind related faults on the GB transmission network
Murray, K. & Bell, K., Jul 2014. 6 p.
Research output: Contribution to conference › Paper › peer-review

File

Cite this

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title = "Spatial and temporal clustering of fault events on the GB transmission network",

abstract = "The UK is subject to changing weather patterns due to the global process of climate change. The full extent of these changes is not currently known; however, it is possible that the UK will be subject to more extreme or more frequent severe weather events (or both). As 50% of the faults on the transmission network in Britain are weather related it is likely that any change in weather patterns for the worse would increase the number of faults the network experiences. This paper describes a review of fault records in one region of the UK in order to understand the potential impact on system operation of clusters of weather related network faults. Based on the patterns of identified clusters, it suggests some potential impacts of climate change. ",

keywords = "adverse or extreme weather, fault outages, GB transmission network , lightning, ice, snow, decision support systems, corrosion, climate change",

author = "Morris, {Euan Andrew} and Keith Bell and Ian Elders",

note = "{\textcopyright} Copyright 2016 IEEE E. A. Morris, K. R. W. Bell and I. M. Elders, {"}Spatial and temporal clustering of fault events on the GB transmission network,{"} 2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), Beijing, China, 2016, pp. 1-9, doi: 10.1109/PMAPS.2016.7764087; 2016 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2016 ; Conference date: 16-10-2016 Through 20-10-2016",

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doi = "10.1109/PMAPS.2016.7764087",

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AU - Bell, Keith

AU - Elders, Ian

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N2 - The UK is subject to changing weather patterns due to the global process of climate change. The full extent of these changes is not currently known; however, it is possible that the UK will be subject to more extreme or more frequent severe weather events (or both). As 50% of the faults on the transmission network in Britain are weather related it is likely that any change in weather patterns for the worse would increase the number of faults the network experiences. This paper describes a review of fault records in one region of the UK in order to understand the potential impact on system operation of clusters of weather related network faults. Based on the patterns of identified clusters, it suggests some potential impacts of climate change.

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KW - adverse or extreme weather

KW - fault outages

KW - GB transmission network

KW - lightning

KW - ice

KW - snow

KW - decision support systems

KW - corrosion

KW - climate change

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ER -

Spatial and temporal clustering of fault events on the GB transmission network

Abstract

Conference

Keywords

UN SDGs

Access to Document

Fingerprint

Projects

EPSRC Centre for Doctoral Training in Future Power Networks and Smart Grids

Power Networks Research Academy (PNRA) - Epsrc Contribution

Datasets

SPEN Transmission Fault Data 1984-2011

Research output

Wind related faults on the GB transmission network

Cite this