Photovoltaic array fault diagnosis method based on linear judgment analysis and support vector machine

A linear discriminant analysis, photovoltaic array technology, applied in computer components, character and pattern recognition, instruments, etc., to achieve good separability

CN108875796APending Publication Date: 2018-11-23FUZHOU UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2018-11-23

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Abstract

The invention relates to a photovoltaic array working state analysis and fault diagnosis method based on linear judgment analysis. The method comprises the following steps: step S1, generating photovoltaic array simulation data and colleting a plurality of electric feature parameters and environment parameters of the maximum power point of a photovoltaic generation array in daily work, thereby obtaining a feature parameter testing sample matrix; step S2, performing linear judgement analysis on a feature parameter standard matrix to obtain a projection matrix, and multiplying the standard matrix with the projection matrix to obtain a standard classification matrix; step S3, serving the standard classification matrix as a training set, and training a classification model through a support vector machine; step S4, multiplying the testing sample matrix with the projection matrix to obtain a new sample matrix; and step S5, classifying the new sample matrix obtained in the step S4 by using the classification model obtained in the step S3, and identifying the class of the data. Through the method disclosed by the invention, the accurate diagnosis on the fault can be realized by performinglinear judgment analysis and classification on the daily running data of the photovoltaic system.
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Description

technical field

[0001] The invention relates to the technical field of photovoltaic array fault diagnosis in a grid-connected photovoltaic power generation system, in particular to a method for analyzing the working state of a photovoltaic array and fault diagnosis based on linear discriminant analysis. Background technique

[0002] Renewable energy is a key challenge that is attracting increasing attention around the world. As a substitute for traditional fossil fuels, solar energy has the advantages of cleanness, sustainability, safety, environmental friendliness, and zero carbon dioxide emissions. In addition, photovoltaic energy is one of the most economically competitive renewable energy sources, which increases national energy security by reducing dependence on fossil fuels.

[0003] Although photovoltaic power generation technology has made great progress in recent years, in actual use, there are still many problems that affect the operating efficiency of photovoltaic...

Examples

Embodiment Construction

[0049] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0050] Such as figure 1 As shown, this embodiment provides a photovoltaic array fault diagnosis method based on linear discriminant analysis and support vector machine. figure 2 This is the topological diagram of the photovoltaic power generation system in this embodiment. The system consists of m×n photovoltaic modules to form a photovoltaic array, which is connected to the power grid through a grid-connected inverter. Under different atmospheric temperatures and irradiances, simulate ten different working conditions in the daily operation of photovoltaic power generation arrays, collect data from photovoltaic power generation systems, and then perform linear discriminant analysis and identification on the data. The specific operations of the embodiment include the following step:

[0051] Step S1: Generate photovoltaic array simulati...