Early warning method and system for photovoltaic power station assembly

Abstract

The invention discloses an early warning method and system for a photovoltaic power station assembly, and the method comprises the steps: obtaining weather information in a weather forecast, and obtaining the current value and voltage value of a photovoltaic assembly in different weather information; marking as fault values according to different gradients; performing correlation analysis according to the weather information and the standard value to obtain influence factors of the current value and the voltage value; abnormal data acquisition: acquiring first abnormal data and second abnormal data according to the time data and the standard value; comparison processing: comparing the first abnormal data and the second abnormal data with the fault value to obtain an estimated value; if the estimated value is beyond the fault value, continuously and sequentially acquiring the first abnormal data, acquiring the second abnormal data and performing comparison processing; and if the estimated value is within the fault value, outputting an early warning result. According to the early warning method and system, abnormal components can be timely and effectively detected and early warning can be carried out, and the power output capability and stability of the photovoltaic power station are enhanced.

Description

technical field [0001] The present application relates to the field of solar photovoltaic power plants, in particular to an early warning method and system for photovoltaic power plant components. Background technique [0002] With the development of the photovoltaic industry and the increasing installed capacity of photovoltaic new energy, the most basic equipment of the photovoltaic field, the normal operation of photovoltaic modules, is the basis for ensuring the continuous, stable and efficient power generation of photovoltaic power plants. Photovoltaic modules are the equipment with the largest number of photovoltaic power plants. To ensure the normal operation of the modules, it is necessary to monitor the operation status of the modules in time, and give early warnings in time for abnormal operation status, which can not only save operation and maintenance costs, but also greatly improve the operation and maintenance personnel. Work efficiency, and enable operation an...

AI Technical Summary

Problems solved by technology

In order to maintain the continuous, efficient and stable power generation of photovoltaic modules, a lot of manpower and material resources must be invested, and the workload is to find faulty modules. This maintenance and early warning method is difficult and has low timeliness

Install sensors and communication equipment under the photovoltaic modules to provide early warning for photovoltaic modules, but the cost of equipment procurement, installation and maintenance is high, which increases the cost of the enterprise.

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