Photovoltaic array fault diagnosis method based on improved salp swarm algorithm

Abstract

The invention discloses a photovoltaic array fault diagnosis method based on an improved salp swarm algorithm, and belongs to the field of photovoltaic power generation. The method includes: a photovoltaic array parameter identification module based on the improved salp swarm algorithm and a photovoltaic array fault diagnosis module based on internal parameter change. Then the photovoltaic array parameter identification module identifies five parameter values of the photovoltaic array single-diode model according to the voltage and current output by the photovoltaic array. Finally, the photovoltaic array fault diagnosis module carries out photovoltaic array fault diagnosis according to the change range of five parameters of the photovoltaic array before and after the fault. According to the invention, based on the improved salp swarm algorithm, compared with a traditional dogvessel goblet swarm optimization algorithm and other intelligent algorithms, the photovoltaic array parameter identification speed is faster, and the precision is higher; moreover, the photovoltaic array fault diagnosis module carries out fault diagnosis through the parameter change of the photovoltaic array before and after the fault, and compared with other photovoltaic array fault diagnosis methods, the photovoltaic array fault diagnosis method is low in required cost and high in diagnosis speed.

Description

technical field [0001] The invention belongs to the field of photovoltaic power generation, and in particular relates to a photovoltaic array fault diagnosis method based on an improved salp swarm algorithm. Background technique [0002] In recent years, photovoltaic power generation has been vigorously developed around the world. As a core component of photovoltaic power generation systems, photovoltaic arrays may encounter various failures due to various natural conditions or human factors. It is of great significance to quickly remove faults in the photovoltaic power generation system and improve the stability of the photovoltaic power generation system. [0003] At present, there are mainly two methods for fault diagnosis of photovoltaic arrays: traditional diagnosis method and model algorithm diagnosis method. The traditional diagnosis method uses thermal imaging instruments, infrared analyzers, sensors, cameras and other instruments to directly perform fault diagnosis ...

AI Technical Summary

Problems solved by technology

Identify the parameters of the photovoltaic array before and after the fault, and perform fault diagnosis through parameter changes. The analytical method and numerical calculation method are sensitive to the selection of the initial value when solving the photovoltaic array model parameters, and the solution accuracy is not high, and it is easy to fall into a local optimum. , so less

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