Predicting Practical Benefits of Dynamic Asset Ratings of 33kv Distribution Transformers

Yang, J. , Chittock, L., Strickland, D. and 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, Birmingham, UK, 22-24 Sep 2015, ISBN 9781785611339 (doi:10.1049/cp.2015.0898)

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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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Yang, Dr Jin
Authors: Yang, J., Chittock, L., Strickland, D., and Harrap, C.
College/School:College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IET International Conference on Resilience of Transmission and Distribution Networks (RTDN) 2015
ISBN:9781785611339
Published Online:21 April 2016

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