基于DTW-Hilbert与改进K-means的谐振接地系统 故障选线方法
Fault Line Selection Method for Resonant Grounding System Based on DTW- Hilbert and Improved K-means
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摘要: 由于消弧线圈、过渡电阻、环境噪声等因素的影响,谐振接地系统故障信号特征微弱,且基于单一判据构成的选线方法难以保证选线结果的可靠性。为此,本文提出了一种融合动态时间弯曲距离算法(DTW)与Hilbert包络能量的谐振接地系统故障选线方法。首先采用DTW距离算法定量刻画各线路电流序列之间的波形相似程度,之后为避免单一判据可能存在的选线盲区,引入Hilbert包络能量衡量暂态零序电流信号中的高频分量幅值,再后为增强所提选线方法的数据处理能力与效率,采用改进K-means聚类算法对故障特征数据集进行分类处理,最后在PSCAD/EMTDC中搭建了10kV配网仿真模型,对所提方法的可行性与准确性进行了验证。
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关键词:
- 谐振接地 /
- 动态时间弯曲距离算法 /
- 包络能量 /
- 高频分量 /
- 聚类算法
Abstract: Due to factors such as arc suppression coils, transition resistors, and environmental noise, the fault signal characteristics of resonant grounding systems are weak, and the selection method based on a single criterion is difficult to ensure the reliability of the selection results. Therefore, this article proposes a fault line selection method for resonant grounding systems that integrates the Dynamic Time Bending Distance (DTW) algorithm and Hilbert envelope energy. Firstly, the DTW distance algorithm is used to quantitatively characterize the waveform similarity between the current sequences of each line. Secondly, to avoid potential blind spots in line selection using a single criterion, the Hilbert envelope energy is introduced to measure the amplitude of high-frequency components in transient zero sequence current signals. Thirdly, to enhance the data processing ability and efficiency of the proposed line selection method, an improved K-means clustering algorithm is used to classify the fault feature dataset. Finally, a 10kV distribution network simulation model is built in PSCAD/EMTDC to verify the feasibility and accuracy of the proposed method.
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