Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

J. Yang; L. Chittock; D. Strickland; C. Harrap

doi:10.1049/cp.2015.0898

Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

J. Yang, L. Chittock, D. Strickland, C. Harrap

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This paper reports potential benefits around dynamic thermal rating prediction of primary transformers within Western Power Distribution (WPD) managed Project FALCON (Flexible Approaches to Low Carbon Optimised Networks). Details of the thermal modelling, parameter optimisation and results validation are presented with asset and environmental data (measured and day/week-ahead forecast) which are used for determining dynamic ampacity. Detailed analysis of ratings and benefits and confidence in ability to accurately predict dynamic ratings are presented. Investigating the effect of sustained ONAN rating compared to a dynamic rating shows that there is scope to increase sustained ratings under ONAN operating conditions by up to 10% higher between December and March with a high degree of confidence. However, under high ambient temperature conditions this dynamic rating may also reduce in the summer months.

Original language	English
Title of host publication	IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015
Publisher	IET
ISBN (Print)	978-1-78561-133-9
DOIs	https://doi.org/10.1049/cp.2015.0898
Publication status	Published - 2015
Event	IET International Conference on Resilience of Transmission and Distribution Networks - Birmingham, United Kingdom Duration: 22 Sept 2015 → 24 Sept 2015

Publication series

Name	IET Conference Publications
Publisher	IET

Conference

Conference	IET International Conference on Resilience of Transmission and Distribution Networks
Abbreviated title	RTDN 2015
Country/Territory	United Kingdom
City	Birmingham
Period	22/09/15 → 24/09/15

Keywords

distribution network operation
dynamic asset rating
dynamic transformer rating
low carbon network
thermal modelling

Access to Document

10.1049/cp.2015.0898

Cite this

@inproceedings{bbe19b3347df4b3fb735301e6d3413f0,

title = "Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers",

abstract = "This paper reports potential benefits around dynamic thermal rating prediction of primary transformers within Western Power Distribution (WPD) managed Project FALCON (Flexible Approaches to Low Carbon Optimised Networks). Details of the thermal modelling, parameter optimisation and results validation are presented with asset and environmental data (measured and day/week-ahead forecast) which are used for determining dynamic ampacity. Detailed analysis of ratings and benefits and confidence in ability to accurately predict dynamic ratings are presented. Investigating the effect of sustained ONAN rating compared to a dynamic rating shows that there is scope to increase sustained ratings under ONAN operating conditions by up to 10% higher between December and March with a high degree of confidence. However, under high ambient temperature conditions this dynamic rating may also reduce in the summer months.",

keywords = "distribution network operation, dynamic asset rating, dynamic transformer rating, low carbon network, thermal modelling",

author = "J. Yang and L. Chittock and D. Strickland and C. Harrap",

year = "2015",

doi = "10.1049/cp.2015.0898",

language = "English",

isbn = "978-1-78561-133-9",

series = "IET Conference Publications",

publisher = "IET",

booktitle = "IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015",

address = "United Kingdom",

note = "IET International Conference on Resilience of Transmission and Distribution Networks, RTDN 2015 ; Conference date: 22-09-2015 Through 24-09-2015",

}

Yang, J, Chittock, L, Strickland, D & Harrap, C 2015, Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers. in IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015. IET Conference Publications, IET, IET International Conference on Resilience of Transmission and Distribution Networks, Birmingham, United Kingdom, 22/09/15. https://doi.org/10.1049/cp.2015.0898

TY - GEN

T1 - Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

AU - Yang, J.

AU - Chittock, L.

AU - Strickland, D.

AU - Harrap, C.

PY - 2015

Y1 - 2015

N2 - This paper reports potential benefits around dynamic thermal rating prediction of primary transformers within Western Power Distribution (WPD) managed Project FALCON (Flexible Approaches to Low Carbon Optimised Networks). Details of the thermal modelling, parameter optimisation and results validation are presented with asset and environmental data (measured and day/week-ahead forecast) which are used for determining dynamic ampacity. Detailed analysis of ratings and benefits and confidence in ability to accurately predict dynamic ratings are presented. Investigating the effect of sustained ONAN rating compared to a dynamic rating shows that there is scope to increase sustained ratings under ONAN operating conditions by up to 10% higher between December and March with a high degree of confidence. However, under high ambient temperature conditions this dynamic rating may also reduce in the summer months.

AB - This paper reports potential benefits around dynamic thermal rating prediction of primary transformers within Western Power Distribution (WPD) managed Project FALCON (Flexible Approaches to Low Carbon Optimised Networks). Details of the thermal modelling, parameter optimisation and results validation are presented with asset and environmental data (measured and day/week-ahead forecast) which are used for determining dynamic ampacity. Detailed analysis of ratings and benefits and confidence in ability to accurately predict dynamic ratings are presented. Investigating the effect of sustained ONAN rating compared to a dynamic rating shows that there is scope to increase sustained ratings under ONAN operating conditions by up to 10% higher between December and March with a high degree of confidence. However, under high ambient temperature conditions this dynamic rating may also reduce in the summer months.

KW - distribution network operation

KW - dynamic asset rating

KW - dynamic transformer rating

KW - low carbon network

KW - thermal modelling

UR - http://www.scopus.com/inward/record.url?scp=84964221804&partnerID=8YFLogxK

U2 - 10.1049/cp.2015.0898

DO - 10.1049/cp.2015.0898

M3 - Conference publication

AN - SCOPUS:84964221804

SN - 978-1-78561-133-9

T3 - IET Conference Publications

BT - IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015

PB - IET

T2 - IET International Conference on Resilience of Transmission and Distribution Networks

Y2 - 22 September 2015 through 24 September 2015

ER -

Predicting practical benefits of dynamic asset ratings of 33kv distribution transformers

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Keywords

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