Novel methodologies for electromagnetic characterization of complex power cable systems situated in realistic environment

拟议的研究项目的重点是开发嵌入到现实环境中的复杂电力输送电缆的电磁特性的新方法。除其他外，环境的影响包括有损耗的土壤的存在，附近物体（如埋管）的可能接近，由于湿度水平的季节性变化，材料参数的复杂空间变化。所提出的方法是基于新的电磁分析方法，最近开发的申请人和利用边界元离散化的表面-体积-表面（SVS）电场积分方程（EFIE）。以前的方法被开发用于表征位于均匀环境中的二维（2D）电力电缆。本计画的重点是在模拟真实电力电缆时所产生的两种重要效应：（1）将SVS-EFIE推广至三维。这样的三维模型是必不可少的占弯曲电缆，附近的物体的存在，以及其他不连续性导致其属性的变化;（2）纳入土壤的影响到电力电缆模型。由于各种各样的电力传输线路的特点是电缆埋在土壤中，包括这样的影响，大大提高了通过模拟完成的电气性能预测的准确性。拟议的项目是马尼托巴HVDC研究中心和马尼托巴大学Okhmatovski博士的研究小组合作的第二阶段。在之前的3年合作研究项目中开发的算法和软件已集成到由马尼托巴HVDC研究中心开发和维护的PSCAD商用电力系统分析软件中。70个国家的10 000多名用户使用该软件。在成功完成拟议的研究项目后，相关的计算模型将被集成到PSCAD软件中，并进一步提高其准确性。PSCAD的新功能将帮助加拿大各地的电力系统工程师设计更高效的输电系统，最终降低数百万加拿大人的输电成本。

The proposed research project focuses on development of novel methodologies for electromagnetic characterization of complex power delivery cables embedded into realistic environment. Among others, the effects of the environment include presence of the lossy soil, possible proximity of nearby objects (e.g. buried pipes), complex spatial variation of material parameters due to seasonal variation of moisture levels. The proposed approach is based on novel electromagnetic analysis methodology recently developed by the applicants and utilizing boundary element discretization of Surface-Volume-Surface (SVS) Electric Field Integral Equation (EFIE). Previously the method was developed for characterization of two-dimensional (2D) power cables situated in homogeneous environment. The emphasis in the proposed project is on the two types of important effects attributed to modeling of realistic power cables: (1) Generalization of the SVS-EFIE to to three-dimensions (3D). Such 3D models are essential to accounting for bends in the cables, presence of nearby objects, and other discontinuities causing the change in their properties; (2) Incorporation of the soil effects into the power cable models. As a wide variety of the power transmission lines feature cables buried in the soil, inclusion of such effects substantially increases the accuracy of electrical performance predictions done through simulations. The proposed project is Phase II in the collaboration between the Manitoba HVDC Research Center and Dr. Okhmatovski's research group at the University of Manitoba. The algorithms and software developed in the prior 3-year collaborative research project have been integrated into PSCAD commercial power systems analysis software developed and maintained by the Manitoba HVDC Research Center. The software is used by over 10,000 users in 70 countries. Upon successful completion of the proposed research project pertinent computational models will be integrated into PSCAD software and further improve its accuracy. New capabilities of PSCAD will aid power systems engineers across Canada in designing more efficient power transmission system ultimately reducing the cost of power delivery to millions of Canadians.**************