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Single Pole-to-Ground Fault Analysis of MMC-HVDC Transmission Lines Based on Capacitive Fuzzy Identification Algorithm

机译:基于电容模糊识别算法的MMC-HVDC传输线单极对地故障分析

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摘要

The probability of a single pole-to-ground fault in high voltage direct current (HVDC) transmission lines is relatively high. For the modular multilevel converter HVDC (MMC-HVDC) systems, when a single pole-to-ground fault occurs, the fault current is small, and it is difficult to identify the fault quickly. Through a detailed analysis of the characteristics of the single pole-to-ground fault of the MMC-HVDC transmission line, it is found that the single pole-to-ground fault has obvious capacitance-related characteristics, and the transient process after the single pole-to-ground fault is the discharge process of the distributed capacitance of the line. However, other faults do not have such obvious capacitance-related characteristics. Based on such feature, this paper proposes a novel capacitive fuzzy identification method to identify the single pole-to-ground fault. This algorithm can effectively identify both the fault of single pole-to-ground and the fault pole, which can contribute to the large database of the future smart grid.
机译:在高压直流(HVDC)传输线中单极到地故障的概率相对较高。对于模块化多电平转换器HVDC(MMC-HVDC)系统,当发生单个极点接地故障时,故障电流很小,很难快速识别故障。通过详细分析MMC-HVDC传输线的单极对接地故障的特性,发现单极与接地故障具有明显的电容相关的特性,并且单一后的瞬态过程极点故障是线路分布式电容的放电过程。然而,其他故障没有如此明显的电容相关的特征。基于此类特征,本文提出了一种新型电容模糊识别方法,用于识别单极到地故障。该算法可以有效地识别单极到地的故障和故障极,这可以有助于未来智能电网的大型数据库。

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