赵书静, 龚梁涛, 詹博博, 梁聪, 王伟, 李成榕. 基于FMCW的10kV配电电缆故障定位及类型识别方法[J]. 中国电机工程学报, 2023, 43(11): 4452-4462. DOI: 10.13334/j.0258-8013.pcsee.221254
引用本文: 赵书静, 龚梁涛, 詹博博, 梁聪, 王伟, 李成榕. 基于FMCW的10kV配电电缆故障定位及类型识别方法[J]. 中国电机工程学报, 2023, 43(11): 4452-4462. DOI: 10.13334/j.0258-8013.pcsee.221254
ZHAO Shujing, GONG Liangtao, ZHAN Bobo, LIANG Cong, WANG Wei, LI Chengrong. 10kV Cable Fault Location and Type Identification Method Based on FMCW[J]. Proceedings of the CSEE, 2023, 43(11): 4452-4462. DOI: 10.13334/j.0258-8013.pcsee.221254
Citation: ZHAO Shujing, GONG Liangtao, ZHAN Bobo, LIANG Cong, WANG Wei, LI Chengrong. 10kV Cable Fault Location and Type Identification Method Based on FMCW[J]. Proceedings of the CSEE, 2023, 43(11): 4452-4462. DOI: 10.13334/j.0258-8013.pcsee.221254

基于FMCW的10kV配电电缆故障定位及类型识别方法

10kV Cable Fault Location and Type Identification Method Based on FMCW

  • 摘要: 为了解决电缆输入阻抗谱法对高阻故障定位距离较短、遮蔽区域大等不足,该文提出一种基于频域反射法的调频连续波(frequency modulated continuous wave,FMCW)电缆故障定位及类型识别方法。首先,依据FMCW电缆故障定位的原理结合电缆分布参数模型进行电缆故障定位仿真,获取电缆的FMCW幅值谱、相位谱。仿真结果表明,幅值谱可用于故障定位,相位谱可用于故障类型识别。根据仿真结果获取不同类型电缆故障(开路、短路、高阻、低阻故障)的相位谱特征。最后,在300m的射频同轴电缆和194m的10kV-XLPE电缆上进行测试,验证所提方法的有效性。实验结果表明,FMCW幅值谱能有效定位电缆的故障;FMCW相位谱的相位特征可以区分开路、短路、高阻、低阻故障。相较于电缆输入阻抗谱法,FMCW方法将高阻故障的检测距离从20 m提高至200m,将输入阻抗法40%的遮蔽区域降至18.2%以内,且对高阻故障的灵敏度从2 kΩ(40Z0)提高至10 kΩ(200Z0)。

     

    Abstract: In order to solve the short distance and large shielding area of high resistance fault location by the cable input impedance spectrum method. This paper proposes a method for fault location and type identification based on frequency modulated continuous wave (FMCW). Firstly, the paper conducts simulation experiments on cable fault location by combining the principle of FMCW cable fault location with a cable distribution parameter model. The simulation results demonstrate that the amplitude spectrum can be utilized for fault location, while the phase spectrum can be used for fault type identification. The phase spectrum characteristics of various cable fault types (open circuit, short circuit, high resistance and low resistance) are derived based on the simulation results. Subsequently, the proposed method is validated through laboratory tests on a 300m long RF coaxial cable and a 194m long 10kV-XLPE cable. The experimental results show that the FMCW amplitude spectrum effectively locates cable faults, and the phase characteristics of the FMCW phase spectrum distinguish between open circuit, short circuit, high resistance, and low resistance faults. Comparing with the cable input impedance method, the FMCW method significantly increases the detection distance of high-resistance faults from 20 m to 200 m. It also reduces the shaded area ratio from 40% to within 18.2%, and improves the sensitivity of high-resistance faults increases from 2 kΩ(40Z0) to 10 kΩ (200Z0).

     

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