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Cable tunnel thermal rating prediction using support vector regression

Cable tunnel thermal rating prediction using support vector regression
Cable tunnel thermal rating prediction using support vector regression
As transmission grids worldwide adapt to changes in both generation and demand, increasing emphasis is being placed on calculating accurate cable current ratings. This paper outlines a method for predictive cable ratings based on a Support Vector Regression method. The method is applied to the rating of a cable tunnel system, with the results of predicted conditions compared against system data.
Predicted Cable Rating, (DTR) Dynamic Thermal Rating, load prediction, (SVR) Support Vector Regression, load flow, power system reliability
Huang, R.
0f0030b4-3a83-4840-a817-745087536771
Pilgrim, J.A.
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Scott, D.
4f3dd604-c3fc-4051-b81c-87ccdbe1ca43
Morrice, D.
224de832-eccb-454c-b24b-c86cc3d25b5d
Huang, R.
0f0030b4-3a83-4840-a817-745087536771
Pilgrim, J.A.
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Scott, D.
4f3dd604-c3fc-4051-b81c-87ccdbe1ca43
Morrice, D.
224de832-eccb-454c-b24b-c86cc3d25b5d

Huang, R., Pilgrim, J.A., Lewin, P.L., Scott, D. and Morrice, D. (2014) Cable tunnel thermal rating prediction using support vector regression. 13th International Conference on Probabilistic Methods applied to Power Systems, PMAPS 2014, Durham, United Kingdom. 07 - 10 Jul 2014.

Record type: Conference or Workshop Item (Paper)

Abstract

As transmission grids worldwide adapt to changes in both generation and demand, increasing emphasis is being placed on calculating accurate cable current ratings. This paper outlines a method for predictive cable ratings based on a Support Vector Regression method. The method is applied to the rating of a cable tunnel system, with the results of predicted conditions compared against system data.

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More information

Published date: 7 July 2014
Venue - Dates: 13th International Conference on Probabilistic Methods applied to Power Systems, PMAPS 2014, Durham, United Kingdom, 2014-07-07 - 2014-07-10
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Keywords: Predicted Cable Rating, (DTR) Dynamic Thermal Rating, load prediction, (SVR) Support Vector Regression, load flow, power system reliability
Organisations: EEE

Identifiers

Local EPrints ID: 367456
URI: http://eprints.soton.ac.uk/id/eprint/367456
PURE UUID: 11d8c5ee-2095-4aad-a695-6ccede6cda3a
ORCID for J.A. Pilgrim: ORCID iD orcid.org/0000-0002-2444-2116
ORCID for P.L. Lewin: ORCID iD orcid.org/0000-0002-3299-2556

Catalogue record

Date deposited: 30 Jul 2014 11:34
Last modified: 15 Mar 2024 03:25

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Contributors

Author: R. Huang
Author: J.A. Pilgrim ORCID iD
Author: P.L. Lewin ORCID iD
Author: D. Scott
Author: D. Morrice

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