On-line dynamic cable rating for underground cables based on DTS and FEM

The development of surface temperature on-line monitoring techniques for 110kV and above XLPE power cable gives a strong support to power cable load dynamic adjustment. However, the problem is how to determine the conductor temperature from the surface temperature. A technique based on distributed temperature sensing (DTS) and finite element method (FEM) is presented to estimate the soil thermal properties by matching the computed thermal fields to that obtained from measurement and predict the real-time current carrying capacity by iterative method in order to prevent overheat of insulation. Compare with the thermal circuit model, the method based on DTS and FEM is more accuracy.

[1]  T. J. Rodenbaugh,et al.  Increasing cable rating by distributed fiber optic temperature monitoring and ampacity analysis , 1999, 1999 IEEE Transmission and Distribution Conference (Cat. No. 99CH36333).

[2]  H. J. Li.  Estimation of soil thermal parameters from surface temperature of underground cables and prediction of cable rating , 2005 .

[3]  H. J. Li,et al.  Hotspot location and mitigation for underground power cables , 2005 .

[4]  F. J. Hoppe,et al.  The use of real-time monitoring and dynamic ratings for power delivery systems and the implications for dielectric materials , 1999 .

[5]  G. J. Anders,et al.  New Approach to Ampacity Evaluation of Cables in Ducts Using Finite Elemet Technique , 1987, IEEE Transactions on Power Delivery.

[6]  J. Downes,et al.  Distributed temperature sensing worldwide power circuit monitoring applications , 2004, 2004 International Conference on Power System Technology, 2004. PowerCon 2004..

[7]  J. Cidras,et al.  Theoretical Model to Calculate Steady-State and Transient Ampacity and Temperature in Buried Cables , 2002, IEEE Power Engineering Review.

[8]  Sait Eser Karlik,et al.  A distributed optical fiber sensor for temperature detection in power cables , 2006 .

[9]  H. Edin,et al.  On-line time domain reflectometry measurements of temperature variations of an XLPE power cable , 2006, 2006 IEEE Conference on Electrical Insulation and Dielectric Phenomena.

[10]  Wang Yonghong.  Research on forecast and alarm system of ampacity on-line for power cable , 2005 .

[11]  V. Hatziathanassiou,et al.  Finite element computation of field, forces and inductances in underground SF/sub 6/ insulated cables using a coupled magneto-thermal formulation , 1994 .

[12]  George J. Anders,et al.  Real time monitoring system for 230 kV cables in tunnels , 2003, 2003 IEEE PES Transmission and Distribution Conference and Exposition (IEEE Cat. No.03CH37495).

[13]  Wei-Jen Lee,et al.  An Online Dynamic Cable Rating System for an Industrial Power Plant in the Restructured Electric Market , 2007, IEEE Transactions on Industry Applications.

[14]  J. Nahman,et al.  Determination of the current carrying capacity of cables using the finite element method , 2002 .

[15]  Chang-Chou Hwang,et al.  Calculation of ampacities for cables in trays using finite elements , 2000 .

[16]  G. Nokes.  Optimising power transmission and distribution networks using optical fibre distributed temperature sensing systems , 1999 .

[17]  K. Kawasaki,et al.  Conductor temperature monitoring system in underground power transmission XLPE cable joints , 1992 .