高电压技术2018,Vol.44Issue(5):1557-1563,7.DOI:10.13336/j.1003-6520.hve.20180430022
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
摘要
Abstract
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Key words
finite element method/particle swarm optimization/thermal parameters/soil/buried cable/ampacity引用本文复制引用
牛海清,郑文坚,雷超平,叶开发,王勇,陆国俊..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[J].高电压技术,2018,44(5):1557-1563,7.基金项目
国家高技术研究发展计划(863 计划) (2015AA050201).Project supported by National High-tech Research and Development Program of China (863 Program) (2015AA050201). (863 计划)