中国电力 ›› 2014, Vol. 47 ›› Issue (9): 83-87.DOI: 10.11930/j.issn.1004-9649.2014.9.83.4

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基于地下电缆表面温度的土壤热参数评估及载流量预测

陈西平1, 张龙2, 刘斌1, 孙振权1, 李洪杰2   

  1. 1. 陕西省地方电力集团,陕西 西安 710061;
    2. 西安交通大学 电气工程学院,陕西 西安 710049
  • 收稿日期:2014-04-15 出版日期:2014-09-18 发布日期:2015-12-10
  • 作者简介:陈西平(1983—),男,陕西富平人,博士,工程师,从事智能电网运行及控制研究。E-mail: chenxp@spg.com.cn

Estimation of Soil Thermal Parameters Based on Surface Temperature of Underground Cables and Prediction of Cable Rating

CHEN Xi-ping1, ZHANG Long2, LIU Bin1, SUN Zhen-quan1, LI Hong-jie2   

  1. 1. Shaanxi Regional Electric Power Group Co., Ltd., Xi’ an 710061, China;
    2. School of Electrical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
  • Received:2014-04-15 Online:2014-09-18 Published:2015-12-10

摘要: 为了使高压电力电缆能够经济可靠地运行,许多电力部门都安装了分布式光纤测温系统(DTS),通过测量其表面温度来监测电缆的运行状态。先进的DTS系统要完全发挥其功能,就要解决两个方面的问题。一是由DTS所测量的电缆表面温度推算出缆芯的温度值;二是需要预测在紧急情况下电缆所能承受的最大负荷。提出了解决以上两个问题的方案,其基本原理是基于将热场的计算值与测量值进行匹配,进而估算周围土壤的热参数。该方案利用有限元法(FEM)和基于DFP的梯度优化方法,通过计算结果和试验结果对比发现预测值与实测值具有很好的一致性。验证了所提出技术方案的有效性,为载流量动态评估提供基础参数。

关键词: 分布式光纤测温系统(DTS), 有限元法, 优化方法, 热参数, 载流量, 预测

Abstract: Numerous power utilities are installed with advanced distributed temperature sensing (DTS) systems to measure the temperature of underground cables. However, two problems needs to be solved for full application of the advanced DTS. The first is to calculate the conductor’s temperature according to the measured cable surface temperature by DTS; the second is to predict the maximum allowable load under the condition of emergency overloading. This paper presents a novel technique for solving the above two problems, the basic principle of which is based on the estimation of soil thermal parameters by matching the computed thermal field with the measured thermal field. Two methods, i.e., the finite-element method(FEM) and the gradient-based optimization method, needs to be used for the proposed technique. It is found through comparing the calculated results and measured results that the predicted values are consistent with the measured values, which verifies the technique’s effectiveness and can provide a basis for dynamic assessment of ampacity.

Key words: distributed temperature sensing, finite-element method, optimization method, thermal parameters, ampacity, estimation

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