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为准确估计单相接地故障发生时刻，本文提出一种基于两步降维的配电网单相接地故障发生时刻估计算法。该算法利用经验模态分解构建滤波器，根据馈线零序电流建立高维特征数据集，经过主成分分析法及希尔伯特变换映射算法将高维数据两次降维后得到二维特征数据集。利用基于密度的聚类方法自适应地将数据分为故障数据和非故障数据两类，从而估计故障发生时刻。文中设计了包含7种常见高阻接地介质的11组实验，对该算法的故障时刻辨识精度进行验证，结果表明，该算法精度在7.3 ms以内，对瞬时性故障能够有效识别故障时段。
Abstract：To accurately estimate the time of occurrence of a single-phase grounding fault,a two-step dimensionality reduction algorithm for estimating the time of occurrence of the single-phase grounding fault in distribution network is proposed in this paper. A filter based on empirical mode decomposition(EMD)is constructed to establish a high-dimensional feature dataset based on the zero-sequence current of the feeder line. Through the use of the principal component analysis and Hilbert transform mapping algorithm,the dimensionality of high-dimensional data is reduced two times to construct a two-dimensional feature dataset. In addition,the density-based clustering method is used to adaptively divide the data into two categories,i.e.,fault and non-fault data,so as to estimate the fault occurrence time. Eleven sets of experiments including 7 common high-resistance grounding media are designed to verify the recognition accuracy of fault occurrence time when using the proposed algorithm. Results show that the accuracy of this algorithm is within 7.3ms,and it can also effectively identify the fault interval in the case of transient faults.
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基本信息:
DOI：10.19635/j.cnki.csu-epsa.001259
中图分类号:TM862
引用信息:
[1]李冠华,徐凯,刘志宇,等.基于两步降维的单相接地故障发生时刻估计算法[J].电力系统及其自动化学报,2024,36(07):140-149.DOI:10.19635/j.cnki.csu-epsa.001259.
2023-05-23
2023-05-23
2023-05-23