Low-voltage area topology identification method and system based on node mutual impedance characteristic identification
By constructing a mathematical model based on the principle of circuit superposition and using the difference in mutual impedance coefficients to determine the node hierarchy, the problems of low manual efficiency and high hardware cost in low-voltage distribution area topology identification are solved. This enables efficient and accurate topology reconstruction and dynamic updates, thereby improving the level of operation and management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANHUA UNIV
- Filing Date
- 2026-03-12
- Publication Date
- 2026-06-09
AI Technical Summary
Existing low-voltage distribution area topology identification methods rely on manual labor, resulting in low efficiency, high hardware costs, or insufficient identification accuracy. In particular, they are difficult to accurately distinguish between branch users at the same access point and downstream electrical users, and lack effective data-driven identification solutions.
By synchronously acquiring voltage and current time-series data, a mathematical model based on the principle of circuit superposition is constructed, the mutual impedance coefficient matrix is calculated, and the node hierarchy relationship is determined by the difference between the self-impedance coefficient and the mutual impedance coefficient. Combined with a regularized regression algorithm and a judgment threshold, automated topology reconstruction is achieved.
It enables efficient and accurate identification of the physical topology of low-voltage distribution areas, reduces implementation costs, has dynamic update capabilities, provides a basis for accurate line loss calculation and fault location, and improves operation and management level.
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Abstract
Citation Information
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