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。
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.
出处
《中国电力》
CSCD
北大核心
2014年第9期83-87,共5页
Electric Power
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
distributed temperature sensing
finite-element method
optimization method
thermal parameters
ampacity
estimation
