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.

CN121813343BActive Publication Date: 2026-06-09NANHUA UNIV
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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

Technical Problem

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.

Method used

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.

Benefits of technology

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

This invention discloses a method and system for identifying low-voltage distribution transformer topology based on node mutual impedance characteristics, relating to the field of power supply and distribution technology. The identification method first synchronously collects voltage and current time-series data of the transformer head and each user node; it then constructs and solves a mathematical model based on the principle of circuit superposition to obtain the user node mutual impedance coefficient matrix; it extracts the impedance feature vector of each user node, calculates the difference between self-impedance and mutual impedance, and compares it with a preset judgment threshold based on physical parameters to accurately determine the upstream and downstream relationships and co-connection points between user nodes; finally, it reconstructs the complete tree-like physical topology of the transformer area. This invention utilizes only existing measurement data and does not rely on additional hardware, achieving efficient and accurate automated identification of low-voltage distribution transformer topology, providing reliable support for refined operation and maintenance such as distribution network line loss management and fault location.
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Citation Information

Patent Citations

  • Distribution area three-phase impedance matrix identification method based on self-supervised graph attention network

    CN120357472A

  • Transformer area topology identification method and device based on multi-feature fusion

    CN120414480A