Fault location method and system based on synchronous sampling of power distribution terminals
By constructing a dynamic graph structure in the distribution terminal, and using graph neural networks to correct phase sequence disorder and extract spatial and temporal features, the problem of high-precision fault location in complex distribution networks is solved, and high-precision fault location is achieved under dynamic topology changes and phase sequence disorder environments.
CN121955624BActive Publication Date: 2026-06-26ZHONGMEI ELECTRIC (NANTONG) CO LTD
Patent Information
- Application Number
- CN202610426957.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-02
- Publication Date
- 2026-06-26
- Estimated Expiration
- 2046-04-02
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Figure CN121955624B_ABST
Abstract
The application discloses a fault distance measurement method and system based on synchronous sampling of power distribution terminals, relates to the related technical field of fault distance measurement, and comprises the following steps: acquiring transient electrical quantity data synchronously sampled by multiple power distribution terminals after a fault of a power system; constructing a dynamic graph structure with the power distribution terminals as nodes and electrical connection relationships as edges according to real-time network topology information, inputting the transient electrical quantity data into a phase sequence disorder correction model to correct phase sequence disorder and extract spatial fault features; fusing zero-mode components of the transient electrical quantity data and node enhanced features; globally aggregating the fusion features of the nodes to obtain graph-level fusion features, extracting timing features, and regressing to obtain a fault distance. The application solves the technical problem that, in the prior art, it is difficult to fully utilize multi-source transient information to perform high-precision fault distance measurement in a complex power distribution network environment with dynamic topology and phase sequence disorder, and achieves the technical effects of improving fault distance measurement precision and adaptability to complex power distribution network environments.
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Citation Information
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