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Abstract
The operation of distribution networks has become more challenging in recent years with increasing levels of embedded generation and other low carbon technologies pushing these towards their design limits. To identify the nature and extent of these challenges, network operators are deploying monitoring equipment on low voltage feeders, leading to new insights into fault behaviour and usage characterisation. With this heightened level of observability comes the additional challenge of finding models that translate raw data streams into outputs on which operational decisions can be based or supported. In this
paper, operational low voltage substation and feeder monitoring data from a UK distribution network is used to identify fault occurrence relations to localised meteorological data, characterise the localised network sensitivities of demand dynamics and infer the effects of embedded generation not visible to the network operator. These case studies are then used to show how additional operational context can be provided to the network operator through the application of analytics.
paper, operational low voltage substation and feeder monitoring data from a UK distribution network is used to identify fault occurrence relations to localised meteorological data, characterise the localised network sensitivities of demand dynamics and infer the effects of embedded generation not visible to the network operator. These case studies are then used to show how additional operational context can be provided to the network operator through the application of analytics.
Original language | English |
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Number of pages | 6 |
Publication status | Published - 21 Oct 2018 |
Event | IEEE PES Innovative Smart Grid Technologies Conference Europe 2018 - Sarajevo, Sarajevo, Bosnia and Herzegovina Duration: 21 Oct 2018 → 25 Oct 2018 Conference number: 8 http://sites.ieee.org/isgt-europe-2018/ |
Conference
Conference | IEEE PES Innovative Smart Grid Technologies Conference Europe 2018 |
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Abbreviated title | ISGT-E 2018 |
Country/Territory | Bosnia and Herzegovina |
City | Sarajevo |
Period | 21/10/18 → 25/10/18 |
Internet address |
Keywords
- power system fault anticipation
- distribution network monitoring
- data analytics
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Dive into the research topics of 'Data analytics to support operational distribution network monitoring'. Together they form a unique fingerprint.Projects
- 1 Finished
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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