A photovoltaic array fault diagnosis method based on an adaptive neural fuzzy inference system

Abstract

The invention relates to an intelligent photovoltaic array fault diagnosis method based on an adaptive neural network, and the method comprises the following steps of S1, collecting photovoltaic electrical characteristic data under various working conditions, and forming original fault data through the sampling and filtering processing; S2, performing data mapping operation on the original fault data to obtain overall fault feature data; S3, performing feature dimension reduction compression on the overall fault feature data to three dimensions by using an LDA algorithm to obtain new feature data; S4, dividing the new feature data into a test set and a training set by adopting K-fold cross inspection, and setting the number of membership functions and the types of the membership functions;S5, generating an initial fuzzy inference system; S6, constructing an adaptive neural network fuzzy inference system model; S7, judging whether the photovoltaic array system is in a fault state or not. The technology of the invention can effectively diagnose and classify the photovoltaic array in the fault, and compared with other machine learning algorithms, the classification precision is highand the result is accurate.

Description

technical field [0001] The invention relates to the field of photovoltaic array fault detection and classification, in particular to a photovoltaic array fault diagnosis method based on an adaptive neuro-fuzzy reasoning system. Background technique [0002] With the intensification of the global chemical energy crisis, clean energy has attracted widespread attention, and solar energy is a very important member of clean energy due to its unique advantages. According to the report of the National Bureau of Statistics, in 2017, the national power generation was 6.5 trillion kwh, an increase of 5.9% over the previous year. Among them, thermal power increased by 5.1%, hydropower increased by 0.5%, nuclear power increased by 16.3%, wind power increased by 24.4%, and solar power increased by 57.1%. The demand for solar energy is increasing, and the installed capacity of photovoltaic power plants is increasing. However, due to its outdoor environment, photovoltaic power plants are ...

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Problems solved by technology

[0005] In view of this, the object of the present invention is to provide a photovoltaic array fault diagnosis method based on an adaptive neuro-fuzzy reas

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