An adaptive intelligent distribution network power distribution automation system

CN122001091BActive Publication Date: 2026-06-19ZHUHAI UPTON ELECTRIC CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHUHAI UPTON ELECTRIC CO LTD
Filing Date
2026-04-10
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Traditional power distribution automation systems struggle to perceive the overall network operation status in real time, accurately identify the consistency between the physical state of equipment and control intentions, and effectively assess potential risks. This leads to problems such as incomplete isolation, conflicting recovery paths, malfunctions, or failures to operate in complex fault scenarios, prolonging power outage time and expanding the scope of impact.

Method used

A modular adaptive intelligent power distribution automation system is constructed, including a construction module, a comparison module, a calculation module, and a differential isolation module. By acquiring a real-time operational status data pool, the system compares the physical mapping set with the control intent release set, calculates the risk confidence score, divides the control execution units, and performs differential isolation and protection logic when a fault occurs, while synchronizing the opening and closing commands and protection parameters in real time.

Benefits of technology

Significantly improves the accuracy and real-time performance of fault handling, enhances adaptability, avoids conflicts between multiple sources of commands, ensures the uniqueness and safety of the control process, and enables rapid isolation and safe recovery of non-faulty sections.

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Abstract

This invention discloses an adaptive intelligent distribution network automation system for distribution networks, relating to the field of power grid distribution system technology. The calculation module introduces a block-level risk confidence scoring model to calculate the risk confidence score of each physical node. Based on the scoring results, the physical nodes are graded and sorted, and continuous sections with scores higher than a preset safety threshold are selected as priority handling target areas. The entire network is divided into several control execution units according to feeder segments and control domains. A granular operation lock is applied to each control execution unit containing the priority handling target area. The differential isolation module performs differential isolation and protection logic operations, and all opening and closing commands and protection parameter adjustments are synchronized to relevant terminals in real time via a 5G network. This system effectively improves the speed and accuracy of fault handling in distribution networks under complex operating environments, and reduces the risk of false trips and failures to trip.
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