基于频谱特性的HVDC区内外故障快速识别

发布时间：2018-08-26 16:11

【摘要】：高压直流输电(HVDC)系统区内外故障快速判别是实现故障保护的基础。由于直流滤波器、平波电抗器以及线路分布电容等作用下,区内外故障时,直流电流信号传播至保护安装处所经历的物理边界存在较大区别,导致直流电流频带能量分布具有明显差异。该文采用总体经验模态分解法(EEMD)对HVDC系统故障时的直流电流信号进行分解,将信号分解为几个固有模态分量(IMF)之和。然后,计算各模态分量的能量,通过对比分析,找出特征区别,进而定义能量比判据用于区分正常、区内、本侧区外以及对侧区外故障。该方法仅采用直流电流信号,简单易实现,能够满足快速性和选择性要求。最后,通过对HVDC多种工况下的大量故障进行仿真分析,验证了该方法的有效性和鲁棒性。
[Abstract]:Fast identification of faults in and out of (HVDC) system is the basis of fault protection. Due to the effects of DC filter, flat-wave reactor and line distributed capacitance, the physical boundary experienced by DC current signal propagating to the protection installation is quite different when the fault occurs inside and outside the area. As a result, the energy distribution of DC current band is obviously different. In this paper, the total empirical mode decomposition (EEMD) method is used to decompose the DC current signal in the fault of HVDC system, and the signal is decomposed into the sum of several inherent modal components (IMF). Then, the energy of each modal component is calculated, and the characteristic difference is found through comparative analysis, and then the criterion of energy ratio is defined to distinguish the faults outside the normal, local, local and contralateral regions. This method only uses DC current signal, which is simple and easy to realize, and can meet the requirements of rapidity and selectivity. Finally, the effectiveness and robustness of the proposed method are verified by simulation and analysis of a large number of faults under various operating conditions in HVDC.
【作者单位】：郑州轻工业学院电气信息工程学院;四川大学电气信息学院;
【基金】：国家自然科学基金(51607158,51507157) 河南省高等学校重点科研项目(16A470016) 河南省重大科技专项(161100211600)
【分类号】：TM721.1

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