Ferromagnetic resonance online monitoring system and ferromagnetic resonance classification recognition method for power distribution network

Abstract

The invention discloses a ferromagnetic resonance online monitoring system for a power distribution network, and the system comprises a system initialization module, a database module, a data communication module, a clustering recognition module, a knowledge base module, and a main control unit. The clustering recognition module carries out the clustering of a certain number of training samples comprising different types of ferromagnetic resonance through calculating the clustering analysis indexes, obtains the ferromagnetic resonance classification indexes, and stores the ferromagnetic resonance classification indexes into the knowledge base module; and then the clustering recognition module calculates the clustering analysis index of an actual sample, and compares the clustering analysis index of the actual sample with the ferromagnetic resonance classification indexes, thereby recognizing the type of ferromagnetic resonance. The invention also discloses a ferromagnetic resonance classification recognition method for the power distribution network. The system carries out the clustering analysis index calculation of the certain number of training samples, carries out the clustering to obtain the ferromagnetic resonance classification indexes, compares the clustering analysis index of the actual sample with the ferromagnetic resonance classification indexes during a fault to recognize the type of ferromagnetic resonance of the actual sample, brings convenience to a power maintainer to timely take corresponding measures for inhibiting the resonance, and prevents an accident from being further expanded.

Description

technical field [0001] The invention relates to the technical field of ferromagnetic resonance identification of distribution network, in particular to an on-line monitoring system for ferromagnetic resonance of distribution network and a ferromagnetic resonance classification and identification method. Background technique [0002] There are many inductive and capacitive components in the power system, such as transformers, transformers, reactors, line wires, etc. can be used as inductive components; the ground and phase-to-phase capacitance of line wires can be used as capacitive components. When the system is in operation or fails, these inductance and capacitance components may form various oscillation circuits, and under certain circumstances, resonance phenomena will occur, causing resonance overvoltage. The non-linear excitation inductance in the voltage transformer will be saturated due to the iron core, so that the inductance parameter is no longer a constant, but c...

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Problems solved by technology

[0003] At present, uniform suppression measures are taken for ferromagnetic resonance, but ferromagnetic resonance is extremely sensitive to changes in system parameters, and can be divided into three types: frequency division, fundamental frequency, and high frequency. It is effective, but it may have no effect on the resonance of another frequency. Therefore, if the ferromagnetic resonance is not classified and identified, the overvoltage cannot be well suppressed in many cases, and the accident will be further expanded.

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