李鹏洋, 吴细秀, 徐思恩, 孟培培, 侯慧, 李黎. SF6/N2混合气体介质条件下GIL管道气室结构多目标优化研究[J]. 高电压技术, 2025, 51(4): 1944-1957. DOI: 10.13336/j.1003-6520.hve.20240891
引用本文: 李鹏洋, 吴细秀, 徐思恩, 孟培培, 侯慧, 李黎. SF6/N2混合气体介质条件下GIL管道气室结构多目标优化研究[J]. 高电压技术, 2025, 51(4): 1944-1957. DOI: 10.13336/j.1003-6520.hve.20240891
LI Pengyang, WU Xixiu, XU Sien, MENG Peipei, HOU Hui, LI Li. Research on Multi-objective Optimization of GIL Pipeline Gas Room Structure Under SF6/N2 Mixed Gas Medium[J]. High Voltage Engineering, 2025, 51(4): 1944-1957. DOI: 10.13336/j.1003-6520.hve.20240891
Citation: LI Pengyang, WU Xixiu, XU Sien, MENG Peipei, HOU Hui, LI Li. Research on Multi-objective Optimization of GIL Pipeline Gas Room Structure Under SF6/N2 Mixed Gas Medium[J]. High Voltage Engineering, 2025, 51(4): 1944-1957. DOI: 10.13336/j.1003-6520.hve.20240891

SF6/N2混合气体介质条件下GIL管道气室结构多目标优化研究

Research on Multi-objective Optimization of GIL Pipeline Gas Room Structure Under SF6/N2 Mixed Gas Medium

  • 摘要: 小型化、环保化是电气设备发展的必然趋势,为此开展了以减小气体绝缘输电线路(gas insulated transmission lines,GIL)管道结构尺寸为目的的多目标优化研究。提出了GIL气室内绝缘判断依据,建立了评估GIL气室绝缘裕度的多物理场耦合模型,分析了GIL管道结构参数对绝缘、温升性能的影响,提取了GIL结构尺寸优化参数。在考虑GIL气室的绝缘性能、温升性能和尺寸优化成本的基础上,开展管道结构多目标优化研究。通过多项式响应面模型拟合了结构参数与GIL场强、温升之间的函数关系,并确定了优化目标和相应的约束条件,采用NSGA-Ⅱ算法对结构参数进行寻优计算。结果表明:通过优化,GIL管道尺寸减小了10%,气室内的绝缘裕度提升了6%,温升下降了19.6%,相应的材料成本也降低了34.6%,整体优化效果良好。该研究为GIL小型化发展提供有益参考。

     

    Abstract: Miniaturization and environmental protection are the essential development trend of electrical equipment. To this end, the paper carries out a multi-objective optimization study aimed at reducing the structural size of the GIL pipeline. Initially, the basis of GIL gas room insulation judgment was proposed, a multi-physical field coupling model for assessing the insulation margin of GIL gas room was established, the influences of GIL pipeline structural parameters on insulation and temperature rise performance were analyzed, and the optimization parameters of GIL structural dimensions were extracted. Based on the consideration of insulation performance, temperature rise performance, and cost of size optimization of GIL gas room, a multi-objective optimization study of pipeline structure was carried out. The response surface model was used to fit the functional relationship between the structural parameters and the GIL field strength and temperature rise, while the optimization objective and the corresponding constraints were determined, and the NSGA-Ⅱ algorithm was used for the optimization-seeking calculation of the structural parameters. The results show that, through optimization, the optimized GIL pipeline size can be reduced by 10%, the insulation margin of the GIL gas room is improved by 6%, the temperature rise is decreased by 19.6%, the manufacturing cost is reduced by 34.6%, and the overall optimization effect is good. The research provides a useful reference for the development of GIL miniaturization.

     

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