A topology self-sensing intelligent measurement switch based on digital twinning and edge decision and a control method thereof

By using a topology-sensing intelligent measurement switch based on digital twins and edge decision-making, real-time identification of the low-voltage distribution network topology and advanced prediction of contact status are achieved, solving the problems of lagging topology identification and delayed protection control in existing technologies, and improving the power supply reliability and security of the distribution network.

CN122292697APending Publication Date: 2026-06-26SHANGHAI MEIQUAN TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI MEIQUAN TECH CO LTD
Filing Date
2026-03-30
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In existing technologies, low-voltage distribution network topology identification is lagging, protection and control cannot respond in real time, hidden faults cannot be predicted, communication dependence leads to decision-making delays, and the demand for high-reliability power supply cannot be met.

Method used

A topology-information intelligent measurement switch based on digital twins and edge decision-making is adopted, integrating high-frequency synchronous phasor measurement, feature signal injection and detection, and edge computing core modules to achieve local topology recognition, contact state prediction and autonomous decision-making, and to generate control commands by fusing topology structure and operating status parameters.

Benefits of technology

It achieves millisecond-level response of topology, early warning of contact faults, and autonomous protection operation, improving the power supply reliability and security of the distribution network and adapting to fault handling under complex operating conditions.

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Abstract

This invention relates to a topology-self-sensing intelligent measurement switch based on digital twins and edge decision-making, comprising a control unit, an actuator, and a communication module. The control unit integrates a high-frequency synchronous phasor measurement module, a feature signal injection and detection module, and an edge computing core module. The edge computing core module integrates a topology self-identification unit, a digital twin unit, and an edge decision-making unit. The topology self-identification unit is connected to the feature signal injection and detection module, constructing and dynamically updating the distribution network topology locally. The digital twin unit is connected to the high-frequency synchronous phasor measurement module, calculating and predicting the operating status parameters of the contacts in real time. The edge decision-making unit is connected to the topology self-identification unit, the digital twin unit, and the actuator. Through feature signal interaction and multi-point data fusion algorithms, node connection relationship identification, electrical distance estimation, and topology map updating are completed locally on the switch, without relying on a cloud master station.
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