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A novel approach to power cable performance assessment using perturbed thermal field analysis.

机译:一种使用扰动热场分析的电力电缆性能评估的新颖方法。

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摘要

This thesis reports on a novel approach to cable thermal field and ampacity computations using a newly proposed concept of perturbed finite-element analysis, which involves the use of derived sensitivity coefficients associated with various cable parameters of interest. It uses the sensitivity coefficients to achieve optimal cable performance. The proposed model provides a quick methodology, based on the finite element model, to assess the cable thermal performance subject to variations in the cable thermal circuit parameters. Furthermore, an optimization model for an underground power cable thermal circuit, based on generated gradients was developed, where subsequent utilization of the derived sensitivities as gradients of objective functions in a general framework of power cable performance optimization is presented. This comprehensive model uses the more accurate perturbed finite element method, which enables calculation of the objective function value and its gradients, without sacrificing the model accuracy. The algorithm developed was applied to various benchmark cable systems with their actual configurations, for different practical cable performance optimization objectives of interest to power utilities operators. The thermal field of an underground power cable sample directly buried in the soil was observed in the laboratory using a developed full size experimental setup. The investigation involves all parts of the thermal circuit parameters including cables composition, surrounding soil and boundaries phenomena. This experimental set was used to validate the developed simulation model by comparing the simulation results with the real laboratory measurements. Such experimental verification confirmed the accuracy of the newly introduced finite element sensitivity methodology.
机译:本论文报告了一种使用新提出的扰动有限元分析概念进行电缆热场和载流量计算的新方法,该方法涉及使用与各种感兴趣的电缆参数关联的导出灵敏度系数。它使用灵敏度系数来实现最佳电缆性能。所提出的模型提供了一种基于有限元模型的快速方法,以评估受电缆热回路参数变化影响的电缆热性能。此外,基于生成的梯度,开发了地下电力电缆热回路的优化模型,在此基础上提出了在电力电缆性能优化的一般框架中,将导出的灵敏度用作目标函数的梯度的方法。该综合模型使用更精确的扰动有限元方法,该方法可以计算目标函数值及其梯度,而不会牺牲模型的准确性。所开发的算法以其实际配置被应用于各种基准电缆系统,以实现电力公司运营商感兴趣的各种实际的电缆性能优化目标。使用开发的全尺寸实验装置,在实验室中观察了直接埋在土壤中的地下电缆样本的热场。该调查涉及热回路参数的所有部分,包括电缆组成,周围的土壤和边界现象。通过将仿真结果与实际实验室测量值进行比较,该实验集用于验证开发的仿真模型。这样的实验验证证实了新引入的有限元灵敏度方法的准确性。

著录项

  • 作者

    Al-Saud, Mamdooh S.;

  • 作者单位

    McMaster University (Canada).;

  • 授予单位 McMaster University (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 235 p.
  • 总页数 235
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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