Fault detection method, device and system for photovoltaic module

Abstract

The invention provides a fault detection method, device and system for a photovoltaic module, and the method comprises the steps: obtaining the original information and filtering processing information of a multi-dimensional performance parameter of the photovoltaic module, and combining a multi-dimensional performance parameter value obtained after the normalization processing of the original information with the weight of the multi-dimensional performance parameter; and calculating a current characteristic value representing a current multi-dimensional operation characteristic of the photovoltaic module, and comparing the current characteristic value with a characteristic average value of the photovoltaic module in a preset reference period to determine whether the photovoltaic module has a fault or not, thereby realizing detection of the photovoltaic module fault caused by abnormity of different performance parameters. And the fault type of the photovoltaic module can be determinedaccording to the influence of the multi-dimensional performance parameters on the current characteristic value, so that accurate detection of multiple fault types of the photovoltaic module is realized.

Description

technical field [0001] The present invention relates to the technical field of photovoltaic power generation, and more specifically, to a photovoltaic module fault detection method, device and system. Background technique [0002] The photovoltaic module is the core part of the photovoltaic power generation system, and the operating status of the photovoltaic module directly determines the power generation performance of the photovoltaic power generation system. Therefore, fault detection of photovoltaic modules in photovoltaic power generation systems is an essential process in the daily management of photovoltaic power generation systems. [0003] There are currently two common fault detection methods for photovoltaic modules, one is to obtain the IV curve through component-level IV scanning, and analyze the IV curve for fault detection; The voltage values ​​are compared, and whether there is a fault is judged according to the voltage difference between each photovoltaic ...

AI Technical Summary

Problems solved by technology

Method 2 only uses voltage to detect faults, which can detect a single type of fault, and cannot detect fault types with abnormal parameters

[0005] It can be seen that the current two photovoltaic module fault detection methods have certain problems and cannot meet the higher fault detection requirements.

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