Mini-inverter fault detecting method based on neural network expert system

Abstract

The invention discloses a mini-inverter fault detecting method based on a neural network expert system. The mini-inverter fault detecting method includes: step 1, building an initial knowledge base, step 2, confirming a neural network topology structure and network parameters, and building an expert system based on the neural network comprising an input layer, a middle layer and an output layer, and step 3, sending data detected in real time to the expert system through a data processing module of the neural network expert system, calling data from the knowledge base by the expert system to compare the data with the data detected in real time, judging whether the system is faulted or not by the aid of speculation and analysis of an inference engine, outputting faulted information, timely detecting fault, providing related handing information and adopting multi-layer inputting topological structure. The mini-inverter fault detecting method is simple, efficient and high in detecting accuracy, so that maintenance staff can fix the fault as soon as possible, and loss and hazard caused by the fault can be prevented.

Description

technical field [0001] The invention relates to a micro-inverter fault detection method based on a neural network expert system. Background technique [0002] Contemporary solar photovoltaic systems generally include: DC photovoltaic panels for generating DC power; micro-inverters for converting DC power into AC power; AC interfaces for receiving AC power from other modules or connecting to the AC grid; communication lines for For transmitting data and control signals, etc. [0003] When the photovoltaic system needs maintenance, it is generally necessary to disconnect the system from the grid first. If the photovoltaic module continues to work in this case, the primary side of the transformer will generate a high voltage, which will pose a great threat to personal safety and equipment safety. [0004] If the system cannot identify the fault in time and take effective remedial measures, when an over-current or over-voltage fault occurs in the system, it will cause great dan...

AI Technical Summary

Problems solved by technology

[0003] When the photovoltaic system needs maintenance, it is generally necessary to disconnect the system from the grid first. If the photovoltaic module continues to work in this case, the primary side of the transformer will generate a high voltage, which will pose a great threat to personal safety and equipment safety.

[0004] If the system cannot identify the fault in time and take effective remedial measures, when an over-current or over-voltage fault occurs in the system, it will cause great danger to equipment and personal safety

Images