Fault detection method and system for photovoltaic array

Abstract

The invention discloses a fault detection method and system for a photovoltaic array. The method comprises the following steps: collecting characteristic data related to a fault condition caused by the photovoltaic array at regular time every day and at intervals of a preset period, wherein the related characteristic data comprises the voltage and current of the photovoltaic module, the temperature and position information of a solar cell module and the serial number of the photovoltaic module to which the solar cell module belongs; uploading the related characteristic data to a monitoring center server in a wireless mode, wherein the monitoring center server analyzes and calculates the related characteristic data, and detects whether the corresponding photovoltaic module and/or solar cellmodule is in a fault state or not; and performing emergency disposal work on the monitored photovoltaic fault assembly. According to the method, faults can be found, analyzed and processed in time, the fault positions are determined, timely processing is facilitated, and prevention of major accidents.

Description

technical field [0001] The invention relates to the technical field of fault monitoring, in particular to a photovoltaic array fault detection method and system. Background technique [0002] With the rapid development of the global economy, people's demand for various forms of energy is increasing. Solar energy is an inexhaustible renewable energy source for human beings. It is fully clean, absolutely safe, and relatively The advantages of extensiveness and maintenance-free, adequacy of resources and potential economy play an important role in the long-term energy strategy. Nowadays, solar photovoltaic power stations are green energy equipment that are being developed at home and abroad, and can effectively solve the increasingly prominent environmental concerns and climate change risks associated with fossil fuel power generation. [0003] However, the optimization, improvement and operating costs of photovoltaic power plants have seriously restricted the development of p...

AI Technical Summary

Problems solved by technology

[0003] However, the optimization, improvement and operating costs of photovoltaic power plants have seriously restricted the development of photovoltaic power generation.

Among them, the photovoltaic array is the core component of the photovoltaic power station, and its cost can account for most of the construction cost of the entire photovoltaic power station. It is a power generation device that generates direct current when exposed to sunlight. It occupies a large area and is widely distributed, and it is prone to photovoltaic cell components. Faults such as rupture, line aging, hot spot phenomenon, etc., failure of any key part will reduce the output power of photovoltaic modules, accelerate component damage, and even cause serious accidents, causing fires and long-term shutdowns. It has a huge impact on the stable and safe operation of the power station, thereby reducing the power generation income of the power station

[0004] In the prior art, diodes are connected in parallel to some cells in the photovoltaic module. If any cell fails, the diode can short-circuit these cells to avoid hot spot effect and reduce losses, but the maintenance personnel of the power station cannot determine the location of the fault.

[0005] Aiming at the problem that it is impossible to judge whether the photovoltaic module is faulty in the prior art, no effective solution has been proposed so far. Therefore, a fault monitoring system for photovoltaic arrays is needed, which can detect, analyze and deal with faults in time, and determine the location of the fault, which is beneficial to It is of great significance to promote the large-scale development of photovoltaic power plants for the maintenance personnel of photovoltaic power plants to carry out targeted and timely work to achieve stable, reliable and economical operation of photovoltaic power plants

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