Power Cable Ampacity and Influential Factors Analysis under Operation

Qiang Tong, Jianping Qi, Yanling Wang, Likai Liang, Xiangxing Meng and Qiang Zhang
Online First Paper
10.3745/JIPS.04.0068
Keywords: Conductor Temperature, Influential Factors, Power Cable, Static Thermal Rating, Transient Temperature
Full Text:

Abstract
With the increasing of urban electricity demand, making the most use of the power cable carrying capacity has become an important task in power grid system. Contrary to the rated ampacity obtained under extremely conservative conditions, this paper presents the various steady value of cable ampacity by using the changing surrounding parameters under operation, which is based on cable ampacity calculation equation under the IEC-60287 standard. To some degree, the cable ampacity analysis of actual surroundings improves the transmission capacity of cables. This paper reveals the factors that influence cable ampacity such as insulating layer thickness, allowable long-term conductor temperature, the ambient temperature, soil thermal resistance coefficient, and so on, then gives the class of the influence of these parameters on the ampacity, which plays a great role in accurately calculating the real-time ampacity and improving the utilization rate of cable in the complex external environment condition. Furthermore, the transient thermal rating of the cable is analyzed in this paper, and temperature variation of the conductor under different overload conditions is discussed, which provides effective information for the operation and control of the system.

Article Statistics
Statistical data for 'online first' paper are not collected.

Cite this article
IEEE Style
Qiang Tong, Jianping Qi, Yanling Wang, Likai Liang, Xiangxing Meng, and Qiang Zhang, "Power Cable Ampacity and Influential Factors Analysis under Operation," Journal of Information Processing Systems. DOI: 10.3745/JIPS.04.0068.

ACM Style
Qiang Tong, Jianping Qi, Yanling Wang, Likai Liang, Xiangxing Meng, and Qiang Zhang, "Power Cable Ampacity and Influential Factors Analysis under Operation," Journal of Information Processing Systems, DOI: 10.3745/JIPS.04.0068.