Photovoltaic system fault arc detection method combining multiple detection signals

Abstract

The invention discloses a photovoltaic system fault arc detection method combining multiple detection signals. The method comprises the following steps: carrying out an equal time interval analysis of the multiple detection signals when the signal statuses are not changed; acquiring multiple characteristic values of a current time period based on a characteristic quantity obtained through the photovoltaic system fault arc detection method and the input multiple analysis time period detection signals; acquiring a typical value based on the selected detection signals; constructing correction factors for characteristic values of the next time period based on the typical values and the characteristic values of the detection signals for the current time period and the next time period; and carrying out linear weighting of each constructed correction factor and the corresponding characteristic value of the next time period to obtain a combined characteristic quantity, so as to complete the combined detection of photovoltaic system fault arcs. The method provided by the invention has the advantages that the photovoltaic system fault arc detection working conditions are expanded, the resistance of the photovoltaic system fault arc detection characteristic quantity against external interference is improved, the judgment of the combined characteristic quantity on the time of fault occurrence is more accurate, and a photovoltaic system can run more stably and safely.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic electrical fault detection, and specifically relates to a variable-time joint multi-channel detection signal, a correction factor for the corresponding characteristic value constructed by the sensitivity of the characteristic value to the occurrence of fault arc events, and an input detection signal based on the reference characteristic value The typical value used to characterize the degree of fault arc occurrence is selected, and the characteristic quantity is jointly identified based on the linear weighting structure, so as to accurately grasp the unique characteristics that distinguish other working conditions when the fault arc occurs, and broaden the setting range of the photovoltaic system arc fault detection threshold , to improve the rapidity and reliability of photovoltaic system arc fault detection to ensure the stable, safe and economical output operation of the photovoltaic system. ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that the DC fault arc detection device uses a single detection signal for identification, and is limited by the limited effective detection of fault arc conditions and the reliable detection and anti-interference ability of the detection signal. The problem of refusal to operate and the malfunction caused by the interference of the detection signal by the arc-like characteristics under normal working conditions provide a photovoltaic system fault arc detection method combined with multiple detection signals

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