一种基于单相接地故障历史数据的配电线路参数计算方法
By using frequency domain processing and optimization based on historical data of single-phase grounding faults, the high cost and low accuracy of existing power distribution line parameter calculation methods are solved. This achieves high-precision and low-cost power distribution line parameter calculation, which is applicable to old power distribution networks and improves the accuracy of fault location and state estimation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- XI AN JIAOTONG UNIV
- Filing Date
- 2026-05-18
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for calculating power distribution line parameters rely on synchronous measurements at both ends, resulting in high engineering costs and strong dependence on communication systems. Methods based on normal operating data lack sensitivity in zero-sequence parameter calculation, and existing methods are weak in resisting abnormal samples and are greatly affected by transition resistance, making it difficult to accurately and robustly calculate line parameters in complex operating environments.
Based on historical data of single-phase grounding faults, voltage and current data at the beginning of the line are used to extract phasors through frequency domain processing. Combined with the fault distance, a line parameter calculation model is established. The Pseudo-Huber robust loss function and differential evolution algorithm are used for optimization and solution. The overall objective function is constructed, which includes the residual reactance of the faulted branch, the logical constraints of the transition resistance, and the physical constraints of the capacitance. Only the data at the beginning of the line is needed to calculate the positive sequence and zero sequence parameters.
It significantly reduces engineering implementation costs, improves parameter calculation accuracy and robustness, and is suitable for old distribution networks that have not undergone intelligent transformation, especially in remote areas and rural distribution networks. It improves the accuracy of fault location and state estimation, reduces the impact of measurement noise, and ensures the consistency and stability of calculation results.
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Abstract
Citation Information
Patent Citations
CN108051700A
CN117039836A