Use of day-ahead load forecasting for predicted cable rating
Use of day-ahead load forecasting for predicted cable rating
In recent years, increasing attention has been placed on cable dynamic rating systems in an attempt to increase asset utilization and decrease constraint costs. In this work, the concept of Predicted Cable Rating system is introduced by building day-ahead load prediction into the dynamic rating system to perform day-ahead rating prediction. This allows the cable rating being calculated forward from any point within the next 24 hours. The method is applied to a cable tunnel system to investigate the likely errors in temperature prediction which may arise, with good performance being demonstrated.
predicted cable rating, (DTR) dynamic thermal rating, load forecasting, (SVR) support vector regression, load flow
Huang, R.
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Pilgrim, J.A.
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Lewin, P.L.
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Scott, D.
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Morrice, D.
224de832-eccb-454c-b24b-c86cc3d25b5d
12 October 2014
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)
Use of day-ahead load forecasting for predicted cable rating.
IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey.
12 - 15 Oct 2014.
6 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In recent years, increasing attention has been placed on cable dynamic rating systems in an attempt to increase asset utilization and decrease constraint costs. In this work, the concept of Predicted Cable Rating system is introduced by building day-ahead load prediction into the dynamic rating system to perform day-ahead rating prediction. This allows the cable rating being calculated forward from any point within the next 24 hours. The method is applied to a cable tunnel system to investigate the likely errors in temperature prediction which may arise, with good performance being demonstrated.
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Published date: 12 October 2014
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CD ROM
Venue - Dates:
IEEE PES Innovative Smart Grid Technologies, Europe, Istanbul, Turkey, 2014-10-12 - 2014-10-15
Keywords:
predicted cable rating, (DTR) dynamic thermal rating, load forecasting, (SVR) support vector regression, load flow
Organisations:
EEE
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Local EPrints ID: 370163
URI: http://eprints.soton.ac.uk/id/eprint/370163
PURE UUID: db95a352-782f-439b-9368-71aa82e39525
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Date deposited: 16 Oct 2014 16:54
Last modified: 15 Mar 2024 03:25
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Contributors
Author:
R. Huang
Author:
J.A. Pilgrim
Author:
P.L. Lewin
Author:
D. Scott
Author:
D. Morrice
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