Photovoltaic Array Fault Diagnosis Method Based on Non-Principal Component Data Features

Abstract

The invention relates to a photovoltaic array fault diagnosis method based on non-principal component data characteristics, which is characterized in that the method comprises the following steps: 1,collecting relevant parameter samples of the photovoltaic power generation array to obtain a parameter sample combination; 2, normalizing each parameter sample according to the parameter sample combination to obtain a to-be-tested parameter matrix; 3, performing PCA on a standard data matrix to obtain a transformation matrix; 4, multiplying the be-measured parameter matrix by the transformation matrix to obtain the transformed parameter matrix, and selecting two dimensions of non-principal components according to the transformed parameter matrix to obtain a two-parameter non-principal component matrix; 5, mixing the two-parameter non-principal component matrix and known label data, performing clustering analysis, and judging the category of the two-parameter non-principal component matrixdata according to the label data in the category where the matrix data is, thereby completing fault detection and classification. The invention can effectively identify the faults of the photovoltaicarray and classify the working state thereof.

Description

technical field [0001] The invention relates to the field of photovoltaic power generation fault detection and classification, in particular to a photovoltaic array fault diagnosis method based on non-principal component data features. Background technique [0002] In order to alleviate the demand for fossil energy and solve the ecological crisis, photovoltaic technology has become the backbone of the new energy field. Benefiting from the improvement of technology level and the reduction of manufacturing cost, coupled with the easy access to and abundant solar energy, the deployment of photovoltaic arrays in the world has steadily increased, and its installed capacity has reached hundreds to thousands of megawatts. [0003] However, due to its special working environment, photovoltaic systems are often threatened by various external or internal faults, such as component short circuit, open circuit, shadow shading, etc. Photovoltaic system failures can lead to reduced system...

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Problems solved by technology

[0007] At present, there is no research on the application of PCA-based data transformation method to fault diagnosis and classification of photovoltaic power generation arrays in published literature and patents.

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