首页|期刊导航|电力系统保护与控制|基于低压侧多级调压的融冰变压器磁-热耦合计算分析

基于低压侧多级调压的融冰变压器磁-热耦合计算分析OA

Magnetic-thermal coupling analysis of de-icing transformers based on low-voltage side multi-stage voltage regulation

中文摘要英文摘要

配电线路覆冰时易引发断线、设备烧毁甚至倒塔等事故,严重威胁电网供电可靠性.为保障电力供应连续性并提升融冰效率,提出一种基于低压侧多级调压的融冰变压器,对其开展多物理场计算与分析研究.首先,阐述融冰变压器的工作原理及核心设计参数.其次,构建该变压器三维瞬态电磁场模型与三维流-固耦合模型.然后,计算分析变压器内部的磁场分布特性与损耗变化规律,对比常规供电模式和供电-融冰并行模式下的温升分布规律.最后,开展变压器温升试验验证.结果表明,模型计算值和试验值基本吻合,有效验证了计算方法的可靠性,为配电线路融冰技术的创新优化提供了新的思路与技术支撑.

Icing on distribution lines can easily lead to conductor breakage,equipment burnout,or even tower collapses,posing a serious threat to power supply reliability.To ensure continuity of power supply and enhance de-icing efficiency,a de-icing transformer based on multi-stage voltage regulation on the low-voltage side is proposed,and its multiphysics behavior is analyzed.First,the operating principle and key design parameters of the de-icing transformer are elaborated.Second,a three-dimensional transient electromagnetic field model and a three-dimensional fluid-solid coupled model are constructed.Subsequently,the magnetic field distribution characteristics and loss variation patterns inside the transformer are analyzed,and the temperature rise distribution patterns under conventional power supply mode and parallel power supply-de-icing mode are compared.Finally,transformer temperature rise tests are conducted for validation.The results show that the calculated values agree well with the experimental results,effectively verifying the reliability of the proposed computational methodology and providing new insights and technical support for the innovative optimization of distribution line de-icing technologies.

李跃;刘安茳;窦陈;李新皓;刘玉飞;曾世藩

贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002贵州电网有限责任公司电力科学研究院,贵州 贵阳 550002广东中鹏电气有限公司,广东 佛山 528237

油浸式变压器多物理场损耗密度温升分布热点温度

oil-immersed transformermultiphysicsloss densitytemperature rise distributionhotspot temperature

《电力系统保护与控制》 2026 (10)

36-46,11

This work is supported by the National Science and Technology Project of China(No.2024ZD0800603). 国家科技重大专项资助(2024ZD0800603)贵州电网科技项目资助(GZKJXM20240136)

10.19783/j.cnki.pspc.251246

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