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机构地区:[1]中国矿业大学信电学院,江苏徐州221008 [2]龙口矿业集团有限公司,山东龙口265700
出 处:《中国矿业大学学报》2006年第3期311-316,共6页Journal of China University of Mining & Technology
基 金:国家自然科学基金项目(705330507)
摘 要:针对矿井配电网处于供电网的末端,又是单端供电,中性点不接地或通过消弧线圈接地的特点,提出了使用单端电流行波法实现矿井供电线路单相故障点定位的方法.通过对矿井供电网故障行波的特征进行的深入分析和选择合适的小波函数,将小波分量的模极大值出现时间确定为电流行波脉冲的到达时刻,根据不同尺度下小波变换的模极大值的大小及极性可以识别被检测信号的性质,实现故障点的准确定位.大量实验数据和仿真结果表明了该小波分析的有效性并得出了小波神经网络可以提高测距法测距精度和可靠性的结论.The mine distribution network is located at the end side of power distribution network and is one-terminal power network. Aiming at the speciality inentioned above, a method of using one-terminal current data traveling wave to locate the fault position in transmission - lines was presented. The characteristics of fault one-terminal current traveling wave in mine distribution network were analyzed in detail. The results show that the exact location of the fault point can be detected by choosing suitable wavelet function. The occurring time of maximum mode value of the wavelet can be considered as the arriving time of the current traveling pulse. According to the value of the maximum mode and the polarity in different precise of the wavelet, the characteristic of the detected signal can be decided. The experiments and simulations indicate that wavelet transform can realize fault location correctly, and wavelet nearal network(WNN) modules can be used to raise the location precision and dependability.
关 键 词:矿井配电网 行波 单端电流 小波变换 小波神经网络
分 类 号:TP27[自动化与计算机技术—检测技术与自动化装置]
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