Title :
Use of day-ahead load forecasting for predicted cable rating
Author :
Huang, R. ; Pilgrim, J.A. ; Lewin, P.L. ; Scott, D. ; Morrice, D.
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
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.
Keywords :
cost reduction; load forecasting; power cables; asset utilization; building day-ahead load prediction; cable dynamic rating system prediction; cable tunnel system; cost reduction; temperature prediction; Conductors; Data models; Load modeling; Power cables; Predictive models; Temperature distribution; Thermal loading; (DTR) Dynamic Thermal Rating; (SVR) Support Vector Regression; Predicted Cable Rating; load flow; load forecasting;
Conference_Titel :
Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES
Conference_Location :
Istanbul
DOI :
10.1109/ISGTEurope.2014.7028813