ZigBee-based photovoltaic module online monitoring and fault diagnosis method

Abstract

The invention relates to a ZigBee-based photovoltaic module online monitoring and fault diagnosis method, which adopts a modular design, divides a system into photovoltaic module wireless sensor nodes, a data gateway and a data management center. Each photovoltaic module wireless sensor node is composed of a CC2530 wireless transceiver, a sensor module and a power supply management module, and is used for monitoring operating parameters and environmental parameters of a photovoltaic module and transmitting the parameters to the data gateway through a ZigBee network; the data gateway is designed by adopting an Mini2440 controller based on an ARM core, completes caching of monitored data and forwards the monitored data to the data management center; and the data management center is designed by adopting QT software, realizes functions such as storing, displaying and querying the monitored data forwarded by the data gateway, configuring parameters of a sensor network and the like, optimizes a BP neural network fault diagnosis model by adopting a genetic algorithm based on the actual monitored data, and automatically diagnoses states of four common operating conditions such as normal, short-circuit, shadow and aging of a photovoltaic array.

Description

technical field [0001] The invention relates to the technical field of photovoltaic array monitoring and fault diagnosis, in particular to a method for on-line monitoring and fault diagnosis of photovoltaic modules based on ZigBee. Background technique [0002] With the rapid growth of photovoltaic power generation installed capacity in various countries in the world, the automatic monitoring and fault diagnosis of photovoltaic power generation systems have attracted more and more attention from scholars and related institutions at home and abroad in recent years. A variety of photovoltaic array monitoring and fault diagnosis methods and technologies have been proposed, including offline and online. The off-line monitoring system analyzes off-line photovoltaic array parameters with manual participation. There are mainly infrared image analysis method, ground capacitance measurement method, fault diagnosis method based on parameter model, etc. The online monitoring system r...

AI Technical Summary

Problems solved by technology

Since there are many characteristic parameters required, and some characteristic parameters cannot be accurately measured in actual measurement, this will also bring certain errors to the judgment of the status of the photovoltaic array.

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