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Single-phase earth-fault perception and location method for active distribution networks based on linear eigenvalue statistics
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DOI：10.3389/fenrg.2026.1874161.png)
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Abstract
En 中文
To address the difficulty in accurately detecting and locating single-phase-to-ground faults in active distribution networks under random fluctuations of distributed energy resources and disturbances; this paper proposes a fault sensing and section location method based on the linear eigenvalue statistics of zero-sequence voltage. Firstly; from the perspective of high-dimensional space; the advantages of zero-sequence voltage in constructing fault sensing and location methods are analyzed. Secondly; a sliding window data matrix of node zero-sequence voltage and its covariance matrix are constructed; and the linear eigenvalue statistics are used to sense the fault occurrence time. Faulted-section localization is achieved based on the node contribution of abnormal eigenvectors and the difference index between adjacent nodes. Simulation verification is carried out on a 33-node distribution network under complex disturbance scenarios including no access of distributed generation; access of distributed generation; and neutral grounding via an arc suppression coil. The results show that the proposed method can effectively identify the occurrence time of single-phase-to-ground faults and achieve high-precision faulted-section localization under complex disturbance conditions.
Keywords:
random matrix
distribution network
fault location
spatiotemporal data
eigenvector
linear eigenvalue statistics
single-phase earth fault
zero-sequence voltage
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2.4
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923
Citations:
1.4W
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