Photovoltaic array fault detection method based on Grubbs criterion and outlier

Abstract

The invention discloses a photovoltaic array fault detection method based on Grubbs criterion and outlier. The photovoltaic array fault detection method based on Grubbs criterion and outlier includes the steps: A, acquiring the real-time current and voltage of each string of a photovoltaic array and the irradiation and temperature of the photovoltaic array every 5 seconds; B, establishing a photovoltaic array simulation model, brining the acquired irradiation and temperature into the model to obtain the reference current and voltage; C, making a difference between the practical current and the reference current, forming one array through combination of the difference of each string of the photovoltaic array, detecting the abnormal data point through application of the Grubbs criterion, and recording the fault characteristic value of the abnormal data as 1, or recording the fault characteristic value of the abnormal data as 0; D, forming a one-dimensional array through combination of the current difference every 20 seconds in order, obtaining LOF of each current difference through application of an outlier algorithm, and distributing the LOF factor to each string according to the time; and E, according to the results of the step C and the step D, comprehensively determining whether a fault occurs. The photovoltaic array fault detection method based on Grubbs criterion and outlier can detect the fault of a photovoltaic assembly in real time, especially the early fault.

Description

technical field [0001] The invention relates to a photovoltaic array fault detection method based on Grubbs criterion and outlier detection, and belongs to the technical field of photovoltaic power generation. Background technique [0002] In recent years, my country's photovoltaic industry has developed rapidly. As of 2015, the cumulative photovoltaic installed capacity has reached 43GW, ranking first in the world in photovoltaic installed capacity. Recently, photovoltaic products are developing toward miniaturization and household use. The power generation performance of a photovoltaic power generation system is closely related to irradiance and temperature. Outdoor photovoltaic products are often exposed to high temperatures, rain erosion, and harsh operating environments, which often lead to operational failures of photovoltaic products. Therefore, the intelligent detection and maintenance of photovoltaic power plants has increasingly become a more realistic problem. In ...

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Problems solved by technology

[0004] The purpose of the present invention is to use the photovoltaic array fault detection method based on the Grubbs criterion and outlier detection to detect the fault of the photovoltaic module in real time, especially the early fault, so as to solve the inaccuracy of the time point when the fault occurs manually in my country at this stage , randomness, diseconomies

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