Photovoltaic module fault on-line diagnosis and analysis algorithm

Abstract

The invention discloses a photovoltaic module fault on-line diagnosis and analysis algorithm, and relates to the technical field of photovoltaic module fault diagnosis, and a photovoltaic module fault analysis and early warning model comprises the following steps: a, collecting irradiation and temperature ranges of a photovoltaic module working well, grouping the irradiation and temperature ranges, and collecting two parameters of the photovoltaic module at the same time, querying open-circuit voltage UOC data under a standard condition according to a specification manual of the photovoltaic module with the specification and the model queried in advance; b, Euclidean distance calculation is firstly carried out on string data collected by the same inverter within a certain period of time so as to judge the consistency of the connected strings, and screening needs to be carried out if the difference is too large; c, calculating the product of the IMPP and the UMPP to obtain the maximum power; d, fault type judgment and fault severity preliminary judgment are obtained by calculating a fault coefficient; and e, after the model is established, providing a data interface. The method has the functions of online monitoring, storage, data analysis, operation and maintenance suggestion and the like, and solves the problems of insufficient mining depth of existing data and the like.

Description

technical field [0001] The invention relates to the technical field of photovoltaic module fault diagnosis, in particular to an online diagnosis and analysis algorithm for photovoltaic module faults. Background technique [0002] In recent years, technologies such as 5G and the Internet of Things have provided a technical basis for real-time data collection and transmission of photovoltaic power plants. The time-series big data collected in real time by photovoltaic power plants is extracted by machine learning algorithms, and trained to form a real-time fault diagnosis model for real-time fault warning of photovoltaic power plant failures. Detection, elimination and power plant management provide new ideas and solutions. [0003] Most of the centralized photovoltaic power plants occupy a huge area, and each megawatt capacity of the photovoltaic power station covers an area of ​​about 3 hectares, which brings considerable work intensity to the station operation and maintenan...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to overcome the above-mentioned problems existing in the prior art, and to provide an online diagnosis and analysis algorithm for photovoltaic module faults, which has online monitoring, storage, data analysis, Functions such as operation and maintenance suggestions to make up for the lack of depth of existing data mining

Images