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Pearson Correlation Coefficient of Current Derivatives based Pilot Protection Scheme for Long-distance LCC-HVDC Transmission Lines

机译:基于电流导数的皮尔逊相关系数的长距离LCC-HVDC输电线路先导保护方案

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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 superposition principle, the correlation characteristics between line current derivative (LCD) and DC filter current derivative (DFCD) are analyzed for internal and external faults. For internal fault, at rectifier side and inverter side, there is completely negative correlation between line current derivative and corresponding DC filter current derivative; 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:提出了一种基于电流导数的皮尔逊相关系数的长距离LCC-HVDC输电线路先导保护方案。根据叠加原理,分析了内部和外部故障的线路电流导数(LCD)和直流滤波电流导数(DFCD)之间的相关特性。对于内部故障,在整流器侧和逆变器侧,线路电流导数与相应的直流滤波器电流导数之间完全负相关;对于外部故障,故障一侧的电流导数(CD)的相关为正,而另一侧则完全相反。皮尔逊相关系数(PCC)用于检测当前导数的相关特性。并且基于这些特性,可以构建一种用于远程HVDC输电线路的新型保护方案,以检测内部和外部故障。综合仿真结果表明,所提出的保护方案能够快速,可靠地识别内部和外部故障。此外,它对故障电阻,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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