A method, system, equipment, program, and product for automatically constructing the hierarchical relationship of power grid nodes based on mutual impedance characteristics for power consumption data acquisition.
CN122092222AActive Publication Date: 2026-05-26NANJING METER TECHNOLOGY CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NANJING METER TECHNOLOGY CO LTD
- Filing Date
- 2026-04-27
- Publication Date
- 2026-05-26
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Figure CN122092222A_ABST
Abstract
This invention relates to the field of power system automation technology, and discloses a method, system, device, program, and product for automatically constructing the hierarchical relationship of power grid nodes based on mutual impedance characteristics collected from electricity consumption data. The method includes: acquiring the original mutual impedance matrix of power grid nodes through an electricity consumption data acquisition terminal and performing preprocessing to obtain a complete symmetric mutual impedance matrix; converting impedance characteristics into inter-node distance characteristics and constructing a distance metric matrix; solving for the optimal node access sequence using an optimization algorithm; adaptively dividing power grid nodes based on the optimized sequence; extracting branch-level features and constructing an inter-branch feature relationship matrix to identify parent-child hierarchical relationships between branches; iteratively optimizing the branch feature extraction and hierarchical identification process until convergence generates a complete tree-like topology hierarchy of power grid nodes. This invention achieves adaptive branch division of power grid nodes and automatic construction of vertical hierarchical relationships using mutual impedance data collected from electricity consumption data without the need for additional hardware equipment, thus improving the computational efficiency of topology identification.
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Citation Information
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