New energy power distribution fault diagnosis system and method based on multi-source data fusion

The new energy distribution fault diagnosis system based on multi-source data fusion solves the problems of multi-source heterogeneous data fusion and disconnection between graph structure diagnosis and control feedback, realizes high-precision fault identification and closed-loop control, and improves the intelligence level and response efficiency of the new energy distribution system.

CN120654136AActive Publication Date: 2025-09-16STATE GRID GRID GANSU ELECTRIC POWER CO QINGYANG POWER SUPPLY CO
6 Cites 9 Cited by

Patent Information

Application Number
CN202510717295.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-30
Publication Date
2025-09-16
Estimated Expiration
2045-05-30

AI Technical Summary

Technical Problem

In existing new energy distribution systems, multi-source heterogeneous data fusion is difficult, the fusion mechanism lacks adaptive adjustment capabilities, graph structure diagnosis and control feedback are disconnected, and the system cannot evolve in a closed loop, resulting in unstable fault diagnosis and low response efficiency.

Method used

A new energy distribution fault diagnosis system based on multi-source data fusion is adopted, including a data processing module, a fusion reasoning module, a graph structure diagnosis module and a control response module. By uniformly structuring multi-source data, dynamically constructing fusion weights, combining graph neural networks for fault identification and location, and updating the graph structure model in real time to form a closed-loop control.

Benefits of technology

It improves the accuracy of fault identification and the closed-loop nature of response control, enhances the intelligence level and adaptability of the system, and improves the fault tolerance and response efficiency of the new energy distribution system.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention provides a new energy power distribution fault diagnosis system and method based on multi-source data fusion, and relates to the technical field of power system fault diagnosis. The system comprises a data processing module, a fusion reasoning module, a graph structure diagnosis module and a control response module. The data processing module performs unified structured processing on the multi-source operation data to generate a feature tensor; the fusion reasoning module constructs a dynamic fusion weight based on the information entropy of each data source, and outputs a fusion confidence judgment result; the graph structure diagnosis module is combined with the distribution network topology to construct a graph structure model, and node-level fault positioning is realized through a graph neural network; and the control response module generates a control instruction based on the diagnosis result, and acquires and executes feedback to update graph structure attributes, thereby realizing a diagnosis closed loop. The method has the advantages of high diagnosis precision, strong adaptability, timely response and the like, and is suitable for intelligent fault identification and dynamic processing in a new energy power distribution scene.
Need to check novelty before this filing date? Find Prior Art