Photovoltaic system fault electric arc detection method based on comprehensive multiple characteristic quantities

Abstract

The invention discloses a photovoltaic system fault electric arc detection method based on comprehensive multiple characteristic quantities. Equal time-interval analysis is implemented when a detection signal state is not changed; a detection signal typical value is chosen based on the detection signal of an analyzed time frame; multiple characteristic values of the time frame are obtained based on the multiple characteristic quantities formed by the photovoltaic system fault electric arc detection method and the input detection signal of the analyzed time frame; correction factors belonging to characteristic values of the next time frame are established based on the detection signal typical values and the characteristic values of the current time frame and the next time frame; and all established correction factors and the corresponding characteristic values of the next time frame are weighted to form comprehensive characteristic quantities for completing the comprehensive detection for the photovoltaic system fault electric arc. The photovoltaic system fault electric arc detection method is based on the comprehensive multiple effective characteristic quantities, so that the photovoltaic system fault electric arc detection working conditions are expanded; resistance to external interferences of the photovoltaic system fault electric arc detection characteristic quantities is improved; positioning on the fault time of occurrence by the comprehensive characteristic quantities is more accurate; and the stable and safe operation capability of the photovoltaic system is improved.

Description

technical field [0001] The invention belongs to the technical field of photovoltaic electrical fault detection, and specifically relates to a variable-time synthesis of multiple feature quantities, constructing a correction factor for the corresponding feature quantity according to the sensitivity of the feature quantity to the occurrence of an arc fault event, and constructing a synthesis based on the idea of ​​linear weighting Identify the characteristic quantity, thereby realize the photovoltaic system arc fault detection method that broadens the threshold setting range of the photovoltaic system arc fault detection, improves the rapidity and reliability of the photovoltaic system arc fault detection, and ensures the stable, safe and economical output operation of the photovoltaic system. Background technique [0002] In actual detection conditions, the DC fault arc detection device not only has to face complex external environments such as noise interference and weather c...

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Problems solved by technology

[0003] The purpose of the present invention is to solve the problem that when the DC fault arc detection device uses a single feature quantity detection, due to the limitations of the effective detection of arc fault conditions and the reliable detection and anti-interference ability of the feature quantity, the special working conditions in the missing area of ​​the feature quantity detection cause The problem of refusal to operate and the misoperation caused by the interference of similar arc characteristics to the characteristic quantity under normal working conditions provide a comprehensive multi-characteristic method for fault arc detection of photovoltaic systems

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