Fault detection method, device and system for a photovoltaic module

Abstract

The invention provides a photovoltaic module fault detection method, device and system, which acquires the original information and filtering processing information of the multi-dimensional performance parameters of the photovoltaic module, and combines the normalized multi-dimensional performance parameter values ​​and the multi-dimensional The weight of performance parameters calculates the current eigenvalues ​​that represent the current multi-dimensional operating characteristics of photovoltaic modules, and compares them with the characteristic average values ​​of photovoltaic modules in the preset reference period to determine whether there is a fault in the photovoltaic modules, so as to realize the detection of abnormalities in different performance parameters. The resulting photovoltaic module failure is detected, and the fault type of the photovoltaic module can also be determined according to the influence of multi-dimensional performance parameters on the current eigenvalues, realizing accurate detection of various types of photovoltaic module failures.

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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