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Method of GIL partial discharge localization based on natural neighbour interpolation and ECOC‐MLP‐SVM using optical simulation technology

机译:基于自然邻插值和ecoC-MLP-SVM使用光学仿真技术的GIL局部放电定位方法

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摘要

Abstract Partial discharge (PD) is one of the main causes rendering the deterioration of the insulation state in gas‐insulated transmission line (GIL). Accurate and timely localization of the PD source is essential to ensure the safe and stable operation of the GIL. At present, optical PD detection technology shows advantages in terms of high sensitivity and strong anti‐interference performance. Therefore, an optical PD localization method based on optical simulation fingerprint database is proposed. The introduction of simulation conquers the difficulty of obtaining a PD fingerprint database in field experiments. This method constructs a simulation fingerprint database by performing PD simulation in a GIL simulation model of the same size as the actual GIL. The natural neighbour interpolation algorithm is applied to expand the simulation fingerprint database to cover all locations in the GIL. The two‐level localization method proposed is to match the PD fingerprint to be tested with the expanded fingerprint database, which can reduce the amount of calculation while maintaining the localization accuracy. The experimental results show that the average localization error of this method is only 9.7 mm, and the localization time is reduced by about 11 times compared with the normal one‐level localization method.
机译:摘要局部放电(PD)是在气体绝缘传输线(GIL)中的绝缘状态劣化的主要原因之一。 PD源的准确性和及时定位对于确保吉尔的安全和稳定运行至关重要。目前,光学PD检测技术在高灵敏度和强烈的抗干扰性能方面表现出优势。因此,提出了一种基于光学仿真指纹数据库的光学PD定位方法。仿真引入征收在现场实验中获得PD指纹数据库的难度。该方法通过在与实际GIL相同大小的GIL仿真模型中执行PD仿真来构造模拟指纹数据库。应用自然邻居插值算法来扩展模拟指纹数据库以覆盖GIL中的所有位置。提出的两级定位方法是将PD指纹与扩展的指纹数据库进行测试,这可以减少计算定位精度的同时计算的计算量。实验结果表明,该方法的平均定位误差仅为9.7毫米,与正常单级定位方法相比,定位时间减少了大约11次。

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