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Pearson correlation coefficient of current derivatives based pilot protection scheme for long-distance LCC-HVDC transmission lines

机译:基于电流衍生物的长距离LCC-HVDC传输线路衍生物的Pearson相关系数

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摘要

This paper proposes a pilot protection scheme for long-distance LCC-HVDC transmission lines based on Pearson correlation coefficient of current derivatives. According to the impedance frequency characteristics of converter and DC filter, and the superposition principle, the correlation characteristics between line current derivative (LCD) and DC filter current derivative (DFCD) are analysed for internal and external faults. For internal fault, there is completely negative correlation between line current derivative and corresponding DC filter current derivative at both rectifier side and inverter side; for external fault, the correlation of current derivatives (CDs) at the faulty side is positive, yet completely contrary at the other side. The Pearson correlation coefficient (PCC) is utilized to detect the correlation characteristics of current derivatives. And based on these characteristics, a novel protection scheme for long-distance HVDC transmission lines can be constructed to detect internal and external faults. Comprehensive simulation results show that the proposed protection scheme can quickly identify internal and external faults with high reliability. Furthermore, it is insensitive to fault resistance, fault location and measurement noise, and does not require data synchronization.
机译:本文提出了一种基于Pearson相关系数的电流衍生物的远程LCC-HVDC传输线的试验方案。根据转换器和DC滤波器的阻抗频率特性,以及叠加原理,分析了线电流导数(LCD)和DC滤波器电流导数(DFCD)的相关特性进行内部和外部故障。对于内部故障,在整流侧和逆变器侧的线电流导数和相应的直流滤波器电流导数之间存在完全负相关;对于外部故障,在故障侧的电流衍生物(CDS)的相关性是正的,而另一侧具有完全相反的。 Pearson相关系数(PCC)用于检测电流衍生物的相关特性。基于这些特性,可以构造一种用于长距离HVDC传输线的新型保护方案以检测内部和外部故障。综合仿真结果表明,该保护方案可以快速识别高可靠性的内部和外部故障。此外,它对容错,故障位置和测量噪声不敏感,并且不需要数据同步。

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