Ring network cabinet fault distinguishing system based on optical spectrum analysis method

Abstract

Disclosed a ring network cabinet fault distinguishing system based on optical spectrum analysis method. The system comprises a signal collection unit, an optical platform, a detection system, a signal processing unit, and an industrial control computer. The system is characterized that: The signal collection unit is an linear arc light sensor, and the arc light signal detected by the linear arc light sensor are transmitted to the optical platform through fiber bundles; The optical platform is used for the arc light decomposition to determine the spectral components; The detection system is used for measuring the characteristics of light intensity at different wavelengths according to the order of wavelengths; The signal processing unit comprises a photoelectric converter and an operational amplifier, and the arc light signal are transmitted into electrical signals through the photoelectric converter; The operational amplifier is used for forming the level converter to converting the electrical level value, which finally are stored in the industrial control computer. The industrial control computer is used for analyzing the spectral components and the intensity of light at each wavelength, distinguishing whether the ring network cabinet is fault or not and determining the fault type. The system has the advantages of sensitivity, accuracy, rapid, good selectivity, low error in arc light setting and high reliability .The system identifies the system fault and avoids the problem of background light interference.

Description

technical field [0001] The invention relates to the field of electrical equipment in a power system, in particular to a ring network cabinet fault discrimination system based on a spectral analysis method, which is used for fault discrimination and real-time monitoring of the ring network cabinet. Background technique [0002] With the continuous progress of the society, the rapid development of the national economy, and the widespread application of high-tech in the power system, the utilization rate of the ring main unit is also increasing. Urban ring network cabinets play an important role in the construction of power systems. With the country's needs for smart grid construction, the status monitoring and fault warning of ring network cabinets are becoming more and more important. The duration of the fault of the ring main unit is related to the degree of damage to the electrical equipment. The shorter the arc fault time, the shorter the damage. How to detect the state o...

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Problems solved by technology

However, most of the research on the spectral structure characteristics of the arc generated by the short circuit of the conductor or its high voltage, the arc protection unit only uses the spectral structure of the natural corona phenomenon and the luminous characteristics of the arc to detect the arc.

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