A method for diagnosing string faults in photovoltaic power plants

Abstract

The present invention provides a photovoltaic power station string fault diagnosis method based on a generation capacity cluster. The method comprises: the string generation capacity in the same combiner box is evaluated according to the excellent, medium and bad groups and is subjected to automatic cluster with no need for extra assigned parameters. The group which each string belongs to is recorded, the changing of the number of each group of strings is analyzed as time goes on, and the fault strings are located according to the characteristics. The photovoltaic power station string fault diagnosis method is simple and easy to deploy, can accurately locate the feature of the fault strings, and is high in practicality.

Description

technical field [0001] The invention relates to a method for diagnosing power generation faults of a photovoltaic power station, in particular to a method for diagnosing group string faults of a photovoltaic power station based on power generation clustering. Background technique [0002] At present, photovoltaic power generation is an important part of some regions, and the installed capacity of solar photovoltaic power generation has grown rapidly in recent years. [0003] With the rapid development of photovoltaic power generation installed capacity, new standards and requirements have been put forward for the operation and maintenance of photovoltaic power generation. As the main power generation components of photovoltaic power plants, there are a large number of photovoltaic modules, which face many operational problems such as short circuit and aging. How to find out problem strings and troubleshoot faults from a lot of operating information is a problem that needs t...

AI Technical Summary

Problems solved by technology

[0006] The traditional patrol inspection or other diagnostic methods for photovoltaic string faults rely on manual inspection, which consumes a lot of manpower and material resources. The cost is high and the efficiency is low, which brings a great burden to the operation of photovoltaic power plants.

However, the traditional method of relying on the discrete rate of power generation or similar methods can only judge the string with low power generation, but cannot accurately reflect the faulty string, because the string with low power generation is not necessarily the faulty string, because it may be the faulty string. Determined by the power generation capacity of the string itself

The traditional method of locating problem strings by analyzing environmental information and component characteristic curves is often based on certain assumptions and requires component manufacturers to provide necessary component characteristic parameters, which not only increases the difficulty of fault analysis, but the obtained results are generally inaccurate

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