The rapid development of offshore wind power has led to widespread uses of high-voltage direct current (HVdc) transmission systems with long-distance dc cables. The detection and location of aged cable segment is critical for ensuring overall system reliability. As current researches mainly focus on offline location methods, a novel online detection and location scheme for modular multilevel converter HVdc systems based on admittance spectrum and compressed sensing is proposed in this article. The relationship between admittance spectrum and aged segment location is mathematically modeled and impacts of converters are revealed. Then, for online extraction of spectra, an injection scheme is proposed, requiring no additional equipment. Finally, the idea of compressed sensing is used to cope with nonuniformly spaced spectra obtained online. Extensive simulations in PSCAD/EMTDC are conducted and average location errors are under 2%. Compared with existing approaches, the novelty of the proposed scheme lies in online implementation and high location precision.

中文翻译：

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基于导纳谱和压缩感知的MMC-HVDC系统老化电缆段在线检测与定位方案


海上风电的快速发展导致长距离直流电缆高压直流输电系统的广泛使用。老化电缆段的检测和定位对于确保整体系统的可靠性至关重要。针对目前的研究主要集中在离线定位方法上，本文提出了一种基于导纳谱和压缩感知的模块化多电平换流器高压直流系统在线检测定位方案。对导纳谱和老化段位置之间的关系进行数学建模，并揭示转换器的影响。然后，为了在线提取光谱，提出了一种不需要额外设备的注入方案。最后，利用压缩感知的思想来应对在线获取的非均匀间隔光谱。在 PSCAD/EMTDC 中进行了广泛的模拟，平均定位误差低于 2%。与现有方法相比，该方案的新颖之处在于在线实现和定位精度高。