Application of enhanced thermal ratings to primary substation transformers

Ian Elders; Keith Bell; Kevin Smith; Alan Collinson

doi:10.1049/oap-cired.2017.1053

Application of enhanced thermal ratings to primary substation transformers

Ian Elders, Keith Bell, Kevin Smith, Alan Collinson

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

115 Downloads (Pure)

Abstract

The use of thermal modelling to increase the permissible load-carrying capability of distribution system transformers is attracting increasing interest. Many reported approaches calculate the rating of transformers in real time in response to system conditions. In this study, an experiment to validate and tune the parameters of such a thermal model is described, and explained how the results have been used to inform the inclusion of model-based seasonal ‘enhanced’ ratings in the network planning process.

Original language	English
Pages (from-to)	1-5
Number of pages	5
Journal	CIRED Open Access Proceedings Journal
DOIs	https://doi.org/10.1049/oap-cired.2017.1053
Publication status	Accepted/In press - 2 Aug 2017
Event	24th International Conference and Exhibition on Electricity Distribution - Scottish Event Campus, Glasgow, United Kingdom Duration: 12 Jun 2017 → 15 Jun 2017 http://www.cired-2017.org/

Keywords

distribution networks
power transformers
asset management
thermal modelling
load-carrying capability
planning processes

Access to Document

10.1049/oap-cired.2017.1053Licence: CC BY 3.0

Elders-etal-CIRED2017-Application-of-enhanced-thermal-ratings-to-primary-substation-transformersFinal published version, 519 KBLicence: CC BY 3.0

Cite this

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title = "Application of enhanced thermal ratings to primary substation transformers",

abstract = "The use of thermal modelling to increase the permissible load-carrying capability of distribution system transformers is attracting increasing interest. Many reported approaches calculate the rating of transformers in real time in response to system conditions. In this study, an experiment to validate and tune the parameters of such a thermal model is described, and explained how the results have been used to inform the inclusion of model-based seasonal {\textquoteleft}enhanced{\textquoteright} ratings in the network planning process.",

keywords = "distribution networks, power transformers, asset management, thermal modelling, load-carrying capability, planning processes",

author = "Ian Elders and Keith Bell and Kevin Smith and Alan Collinson",

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AU - Smith, Kevin

AU - Collinson, Alan

PY - 2017/8/2

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N2 - The use of thermal modelling to increase the permissible load-carrying capability of distribution system transformers is attracting increasing interest. Many reported approaches calculate the rating of transformers in real time in response to system conditions. In this study, an experiment to validate and tune the parameters of such a thermal model is described, and explained how the results have been used to inform the inclusion of model-based seasonal ‘enhanced’ ratings in the network planning process.

AB - The use of thermal modelling to increase the permissible load-carrying capability of distribution system transformers is attracting increasing interest. Many reported approaches calculate the rating of transformers in real time in response to system conditions. In this study, an experiment to validate and tune the parameters of such a thermal model is described, and explained how the results have been used to inform the inclusion of model-based seasonal ‘enhanced’ ratings in the network planning process.

KW - distribution networks

KW - power transformers

KW - asset management

KW - thermal modelling

KW - load-carrying capability

KW - planning processes

UR - http://www.cired-2017.org/

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DO - 10.1049/oap-cired.2017.1053

M3 - Article

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JO - CIRED Open Access Proceedings Journal

JF - CIRED Open Access Proceedings Journal

T2 - 24th International Conference and Exhibition on Electricity Distribution

Y2 - 12 June 2017 through 15 June 2017

ER -

Application of enhanced thermal ratings to primary substation transformers

Abstract

Keywords

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