一种基于逆系统反演的配电网故障暂态信号检测方法及系统
By establishing an inverse system model of a power distribution network transient signal sensor and discretizing the difference equations, the accuracy and reliability problems of fault transient signal detection in existing technologies are solved, and efficient fault transient signal detection in a microprocessor is realized.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
- Filing Date
- 2025-05-07
- Publication Date
- 2026-07-17
AI Technical Summary
In existing technologies, the transient signals of power distribution network faults are weak and have a wide frequency range, making it difficult for sensors to accurately reflect the characteristics of primary side transient signals. Furthermore, existing inversion methods involve large computational loads and high costs, and cannot be embedded in microprocessors.
A nonlinear transmission model of the transient signal sensor in the distribution network is established. The inverse system transfer function is obtained through the inverse system inversion method. The difference equation is discretized, and the secondary side voltage data is obtained by inverting the discrete inverse system equation to obtain the primary side fault current signal.
It achieves accurate reflection of primary side fault transient signals in both the time and frequency domains, reduces the influence of sensor distortion, and improves the accuracy and reliability of fault transient signal detection, making it suitable for microprocessor embedding.
Smart Images
Figure CN120522505B_ABST