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

提出的研究项目侧重于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。其中，环境的影响包括含沙量大的土壤的存在，可能靠近附近的物体（例如埋在地下的管道），由于湿度水平的季节性变化而导致的材料参数的复杂空间变化。该方法基于申请人最近开发的新型电磁分析方法，并利用表面-体积-表面（SVS）电场积分方程（EFIE）的边界元离散化。以前，该方法是用于表征二维（2D）电力电缆位于均匀环境。该项目的重点是两类重要的影响归因于真实电力电缆的建模：(1)将SVS-EFIE推广到三维（3D）。这样的3D模型对于计算电缆的弯曲、附近物体的存在以及导致其特性变化的其他不连续是必不可少的；(2)将土壤效应纳入电力电缆模型。由于各种各样的输电线路都有埋在土壤中的电缆，因此考虑到这些影响，可以大大提高通过模拟进行的电气性能预测的准确性。该项目是马尼托巴HVDC研究中心与马尼托巴大学Okhmatovski博士的研究小组合作的二期项目。在之前3年的合作研究项目中开发的算法和软件已经集成到PSCAD商业电力系统分析软件中，该软件由曼尼托巴HVDC研究中心开发和维护。该软件被70个国家的1万多名用户使用。在成功完成拟议的研究项目后，相关的计算模型将集成到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电力传输系统，最终降低数百万加拿大人的电力输送成本。

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.