基于有限元和粒子群算法的电缆周围土壤热特性参数估算方法  

Estimation Method for Thermal Parameters of Soil Around the Cable Based on Finite Element and Particle Swarm Optimization

作　　者：牛海清[1] 郑文坚[1] 雷超平 叶开发[1] 王勇 陆国俊 NIU Haiqing1, ZHENG Wenjian1, LEI Chaoping2, YE Kaifa1, WANG Yong2, LU Guojun2(1. School of Electric Power, South China University of Technology, Guangzhou 510640, China; 2. Tests and Research Institute, Guangzhou Power Supply Bureau Co., Ltd., Guangzhou 510410, Chin)

机构地区：[1]华南理工大学电力学院,广州510640 [2]广州供电局有限公司电力试验研究院,广州510410

出　　处：《高电压技术》2018年第5期1557-1563,共7页High Voltage Engineering

基　　金：国家高技术研究发展计划(863计划)(2015AA050201)~~

摘　　要：土壤导热系数、比热容等土壤热特性参数受土壤组成成分、颗粒大小、紧密程度、含水率等因素的影响而在不同地区、不同季节下呈现较大差异,给电缆载流量的准确计算带来困难。为此,在电缆外皮温度实测的基础上,提出了一种基于有限元和粒子群算法的土壤热特性参数估算方法,其基本原理是将电缆外皮温度的有限元计算值与实测值进行比较,通过粒子群算法优化土壤热特性参数,直至2者的平均误差最小。研究结果表明：与阶跃负荷及周期负荷电缆温升试验数据进行对比,基于估算的电缆周围土壤热特性参数的电缆导体和外皮温度的计算值与其试验实测值相符合,2者之间的平均误差均不超过2℃,说明所提出的土壤热特性参数估算方法的可行性。在电缆实际运行中,电力部门可以利用该方法对电缆周围土壤的热特性参数进行估算,以便准确计算电缆载流量、合理调度其负荷。The ampacity of buried cable cannot be calculated accurately because soil thermal parameters, such as the thermal conductivity and specific heat capacity, which are influenced by composition, particle size, compaction and moisture content of soil, are different with region and season. Consequently, we proposed an estimation method of thermal parameters of soil around the cable based on the finite element and particle swarm optimization, which minimize average error of cable skin temperature calculated and measured via using particle swarm optimization to optimize thermal parameters of soil. The method is proved to be viable for the average error between cable temperatures measured in experiments in which a step load and period load are applied, and the forecast soil thermal parameters estimated by the method is less than 2 degree centigrade. The method can be used to estimate soil thermal parameters and get more accurate ampacity, which is convenient for load dispatch.

关 键 词：有限元 粒子群算法 热特性参数 土壤 埋地电缆 载流量 

分 类 号：TK12[动力工程及工程热物理—工程热物理] TM75[动力工程及工程热物理—热能工程]