A circuit breaker misoperation detection method of a power transformation and distribution system

By constructing a data sequence of current, voltage, temperature, and vibration, the maloperation behavior of circuit breakers is evaluated, solving the problem that existing technologies fail to effectively consider external factors and achieving more accurate circuit breaker maloperation detection.

CN119199505BActive Publication Date: 2026-06-26JIANGSU SHANGRONG ELECTRIC TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU SHANGRONG ELECTRIC TECH CO LTD
Filing Date
2024-10-10
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing circuit breaker malfunction detection methods fail to effectively consider the influence of external factors on the circuit breaker, resulting in poor detection performance. Furthermore, existing technologies have high requirements for data acquisition and transmission, making them prone to misjudgment.

Method used

A series of current, voltage, temperature, and vibration data are constructed. By constructing an abnormal fluctuation coefficient and a circuit breaker abnormal coefficient for the current data series, and combining the fluctuation degree of current data, the stability of voltage data, and the stability of temperature data, the normal fluctuation of current data is evaluated. The health status of the circuit breaker is evaluated by combining vibration data, thereby realizing the detection of circuit breaker malfunction.

Benefits of technology

It improves the accuracy of circuit breaker malfunction detection by comprehensively considering both internal and external factors of the circuit breaker, reducing misjudgments and improving the reliability of detection.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present application relates to the technical field of measuring electrical variables, and particularly relates to a circuit breaker misoperation detection method for a power transformation and distribution system, which comprises the following steps: constructing a current data sequence, a voltage data sequence, a temperature data sequence and a vibration data sequence of a circuit breaker to be detected; constructing an abnormal fluctuation coefficient of the current data sequence based on the current data sequence, the voltage data sequence and the temperature data sequence, which is used to represent the possibility that the current of the circuit breaker to be detected is in normal fluctuation; constructing an abnormal coefficient of the circuit breaker based on the vibration data sequence, which is used to represent the health condition of the operating state of the circuit breaker to be detected; and realizing the misoperation detection of the circuit breaker based on the abnormal fluctuation coefficient of the current data sequence and the abnormal coefficient of the circuit breaker. The present application considers the influence of external and internal factors of the circuit breaker, and improves the accuracy of the misoperation behavior detection of the circuit breaker by analyzing and processing multi-source data.
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