193.174.19.232Abstract: M. Song, Y. Tian, Z. Ma, X. Yao, X. Liu (2023)

Proceedings of the International Conference on Advanced Power System Automation and Protection (APAP 2023), 271–275p. (2023) DOI:10.1109/APAP59666.2023.10348421

Single Phase Grounding Fault Line Selection Method of Resonant Grounding System Based on Recurrence Quantification Analysis and Fuzzy C-Means Clustering

M. Song, Y. Tian, Z. Ma, X. Yao, X. Liu

The discrimination degree of the transient zero-sequence current of each line is reduced by the wide application of cable lines and the harmonic injection of a high proportion of new energy when a single phase grounding fault occurs in the distribution network. Aiming at this problem, a single phase grounding fault line selection method based on recurrence quantification analysis and fuzzy C-means clustering is proposed. Firstly, the transient zero-sequence current of the line with three different window lengths after the fault is collected, and the low-frequency component is extracted by FIR filter and the recurrence diagram is drawn. Secondly, the recurrence entropy of low-frequency transient zero-sequence current with different window lengths is calculated by recurrence quantification analysis, and a three-dimensional sample matrix is obtained. Finally, the fuzzy C-means clustering is used to classify the sample matrix to complete the fault line selection. The distribution network model is built using PSCAD to simulate the line selection conditions under different fault conditions such as grounding points, grounding resistance and fault angles, all of which can be correctly selected. The simulation results show that the proposed line selection method is not affected by the reduction of line transient zero-sequence current discrimination, and has strong noise immunity and high line selection accuracy.

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