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定向钻敷设电缆输送能力评估及提升方案OA

Ampacity assessment and enhancement scheme for power cables for HDD installation

中文摘要英文摘要

大埋深、大跨度的定向钻敷设是电缆穿越非开挖区域的常用方式,然而现有的定向钻敷设电缆输送能力评估方法未考虑深层地温的影响,导致结果偏保守.为此,首先分析大埋深定向钻敷设电缆的实际传热过程,论证了传统计算方法的局限性.随后建立定向钻敷设电缆的三维温度场仿真模型,以评估电缆的真实输送能力;为达到与直埋敷设电缆相当的输送能力,提出基于高导材料回填的输送能力提升方案.最后构建考虑轴向传热与深层地温双重影响的定向钻敷设电缆准三维热路模型,对回填高导热材料后电缆导体热点温度进行快速评估.仿真结果表明,在不同工况下,基于准三维热路模型的热评估算法最大误差不超过2.5℃,能够满足工程应用上对电缆热评估的精度要求.

Directional drilling installation of cables at great depths and spans is a common method for crossing non-excavated areas.However,existing methods for assessing the ampacity of cables installed via horizontal directional drilling(HDD)do not account for the influence of deep soil temperatures,leading to underestimated calculation re-sults.To address this,the actual heat transfer process of cables installed via HDD at great depths is analyzed,dem-onstrating the limitations of conventional calculation methods.A three-dimensional temperature field simulation model is then established to evaluate the real cable ampacity.To achieve an ampacity comparable to direct-buried cables,an enhancement scheme based on high thermal conductivity material backfilling is proposed.Finally,a quasi-three-dimensional thermal circuit model considering both axial heat transfer and the effects of deep soil tem-perature is developed for rapid evaluation of the conductor hotspot temperature after backfilling with high thermal conductivity materials.Simulation results show that,under various working conditions,the thermal evaluation algo-rithm based on the quasi-three-dimensional thermal circuit model has a maximum error of no more than 2.5℃,which meets the accuracy requirements for cable thermal evaluation in engineering applications.

余尚豫;刘刚;高子恒;李绪一;李梓华;王鹏宇

华南理工大学 电力学院,广州 510641华南理工大学 电力学院,广州 510641华南理工大学 电力学院,广州 510641华南理工大学 电力学院,广州 510641华南理工大学 电力学院,广州 510641广东技术师范大学 自动化学院,广州 510665

电力电缆定向钻敷设输送能力深层地温轴向传热高导热材料

power cableHDD installationampacitydeep soil temperatureaxial heat transferhigh thermal con-ductivity material

《浙江电力》 2026 (4)

113-122,10

广东省基础与应用基础研究基金(2024A1515240077)广东省绿色能源技术重点实验室资助项目(2008A060301002)

10.19585/j.zjdl.202604011

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