基于电流样本数据的总线故障敏感识别方法

Xingguo Wang, Yarong Guo, Zexin Zhou
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引用次数: 0

摘要

为了提高母线故障识别的速度和灵敏度,提出了一种基于当前样本数据的快速故障识别方法。利用三相同时的电流采样数据来识别母线的内外故障。内部故障识别方法和外部故障识别方法的运行时间差也可用于电流互感器饱和的识别。启动元件的性能不受数据窗口和频率的影响。该判据的灵敏度优于现行判据。实时数字系统(RTDS)仿真结果验证了该方法的灵敏度和快速性。
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A Sensitive Fault Identification Method of Bus Based on Current Sample Data
For improving the speed and sensitivity of bus fault identification, a fast fault identification method based on current sample data is proposed. The current sample date of three phases at the same time is used to identify internal and external fault of bus. The operation time difference of internal fault identification method and external fault identification method also can be used to identify current transformer saturation. The start element performance is not impacted by data window and frequency. The sensitivity of criterion proposed was superior to present criterion. RTDS (Real Time Digital System) simulation results verify the sensitivity and rapidity of bus identification method.
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