Power distribution network short-circuit parameter real-time monitoring method, system and equipment based on edge calculation and medium
By deploying edge computing units at distribution network nodes to collect and process data in real time, and combining them with adaptive optimization algorithms, the shortcomings of centralized and distributed methods are addressed, enabling efficient and real-time short-circuit parameter monitoring and improving the fault diagnosis capability and system adaptability of the distribution network.
Patent Information
- Application Number
- CN202511757454.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-27
- Publication Date
- 2026-02-06
AI Technical Summary
Existing methods for monitoring short-circuit parameters in distribution networks suffer from poor real-time performance and heavy communication burden due to centralized processing. Furthermore, distributed methods lack adaptability and suffer from decreased computational accuracy when dealing with high-frequency data, complex topologies, and distributed energy access.
The real-time monitoring method for short-circuit parameters in distribution networks based on edge computing generates state vectors by collecting data in real time at each monitoring node, processes the data in the edge computing unit, and dynamically adjusts model parameters using an adaptive optimization algorithm to achieve fault assessment and data compression, thereby reducing communication burden.
It improves the real-time performance of monitoring and the accuracy of calculations, enhances the environmental adaptability and reliability of the system, reduces communication pressure, and ensures the depth and accuracy of fault information processing.