国网智能电网研究院有限公司,北京 102209
国网青海省电力公司电力科学研究院,西宁 810001
华北电力大学新能源电力系统国家重点实验室,北京 102206
张强(1990—),男,博士,高级工程师,主要从事数据挖掘、模式识别、设备在线监测等工作(E-mail:ncepu zhangqiang@163.com)。
马国明(1984—),男,博士,教授,博导,主要从事电气设备状态监测与诊断、输变电设备状态感知等方面的研究(通信作者)(E-mail:ncepumgm@ncepu.edu.cn)。
收稿:2025-09-07,
修回:2025-11-20,
纸质出版:2026-04-16
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导体温度是制约电缆载流量的直接因素,在隧道电缆集群敷设复杂环境下,现有IEC 60287中的电缆热路模型对电缆温度计算存在误差。为此,基于电场、热场、流体场三场耦合建立了单回高压电缆温度计算仿真模型,针对对流换热系数难以确定的难题,设计建立了电缆多层结构温度原位检测试验平台,基于温升试验实测数据确定了模型中的对流换热系数,与试验结果对比,表明所建立的多场耦合模型可以准确获得单回高压电缆各层温度分布。之后,针对电缆隧道通风强制对流影响,在仿真模型中耦合考虑湍流因素,将单回电缆模型推广为隧道敷设的多回高压电缆模型。对隧道中实际运行的多回高压电缆表面温度和载流量进行实测,结果表明,文中所提出的多场耦合计算方法与IEC方法相比,仿真计算平均误差降低了11.08%。
Conductor temperature is a direct factor limiting the cable ampacity. In the complex environment of tunnelbased clustered cable laying
the thermal circuti model in the current IEC 60287 standard exhibits errors in calculating cable temperatures. Therefore
a temperature calculation simulation model of single-circuit high voltage cable based on the coupling of electric field
thermal field and fluid field is set up. As for the difficult determination of convective heat transfer coefficient
a temperature on-site testing platform of cable multi-layer structure is designed and set up. Based on the test data of temperature rise
the convective heat transfer coefficient in the model is determined. The comparison with the experimental results shows that the established multi-field coupling model can accurately obtain the temperature distribution of each layer of single-circuit high voltage cable. Subsequently
as for the influence of forced convection from tunnel ventilation on cable cooling
the turbulent factors are incorporated into the simulation model. The single-circuit cable model is extended to the multi-circuit high voltage cable model in the tunnel. The surface temperature and ampacity of multi-circuit high voltage cables operating in the tunnel is measured. The result shows that the proposed multi-field coupling calculation method
compared with the IEC method
can reduce the average error by 11.08%.
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