Title :
Dynamic cable ratings for smarter grids
Author :
Huang, R. ; Pilgrim, J.A. ; Lewin, P.L. ; Payne, David
Author_Institution :
Sch. of Electron. & Comput. Sci., Univ. of Southampton, Southampton, UK
Abstract :
This paper discusses the shortage of static current ratings in the increasingly stressed, yet intelligent, power grid. Using online monitoring systems, real-time data can be obtained to perform a more accurate and reliable Dynamic Rating. A comparison of base thermal models is presented, demonstrating that the widely used IEC60853 approach is not always the most accurate. Load current prediction algorithms based on support vector regression are examined, along with the requirements for ambient temperature data. Through considering data from operational transmission cable circuits, the value of taking a network level approach is demonstrated.
Keywords :
IEC standards; power cables; power engineering computing; power transmission; regression analysis; smart power grids; support vector machines; ILEC60853 approach; ambient temperature; dynamic cable ratings; load current prediction algorithms; network level approach; online monitoring systems; operational transmission cable circuits; power grid; real-time data; reliable dynamic rating; smarter grids; static current ratings; support vector regression; thermal models; Conductors; IEC standards; Load modeling; Loading; Soil; Temperature distribution; Temperature measurement; DTR (Dynamic Thermal Rating); High-Voltage Cables; Predicted Rating;
Conference_Titel :
Innovative Smart Grid Technologies Europe (ISGT EUROPE), 2013 4th IEEE/PES
Conference_Location :
Lyngby
DOI :
10.1109/ISGTEurope.2013.6695230
