Alarm and abnormity analysis processing method suitable for photovoltaic power station

Abstract

The invention discloses an alarm and abnormity analysis processing method suitable for a photovoltaic power station, and the method comprises an intelligent operation management platform which is provided with a diagnosis alarm module and a vehicle alarm module. The intelligent operation and management platform analyzes, studies and judges information such as phase current, phase voltage, line current and generating capacity of various devices transferred from the Internet of Things through real-time consumption, and forms a diagnosis alarm module knowledge base according to abnormal characteristics of data sent after the device breaks down and knowledge and experience judgment of operation and maintenance experts. By collecting operation data of a string, a gateway meter, an inverter, a box transformer substation and a combiner box, through calculation and analysis of a photovoltaic power station alarm system and basic data of a knowledge base, an alarm equipment reason and a maintenance strategy are finally obtained, the data are displayed through a foreground interface, and then operation and maintenance personnel are guided to carry out maintenance and repair on related equipment. Safe and reliable operation of power station equipment is guaranteed, the failure rate of the power station equipment is reduced, and good economic benefits are achieved.

Description

technical field [0001] The invention relates to the field of fault diagnosis applicable to photovoltaic power generation, in particular to an analysis and processing method applicable to alarms and abnormalities of photovoltaic power plants. Background technique [0002] Photovoltaic power plants generally occupy a large area, are widely distributed, and have complex working conditions. Therefore, it is extremely important for efficient operation and maintenance to be able to obtain equipment operation information in real time, extract alarm and abnormal data, and analyze and make decisions. [0003] There are many types of photovoltaic power stations, and the geographical distribution is becoming more and more extensive. A single station covers a large area and relies on traditional operation methods. The management of photovoltaic power stations is difficult, and inspection management is easily missing, with low efficiency and high labor costs. Photovoltaic power generatio...

AI Technical Summary

Problems solved by technology

[0003] There are many types of photovoltaic power stations, the geographical distribution is becoming more and more extensive, and a single station covers a large area. It relies on traditional operation methods. The management of photovoltaic power stations is difficult, and inspection management is easily missing, with low efficiency and high labor costs.

Photovoltaic power generation has a strong timeliness, high power generation at noon, low power generation in the morning and evening, and no power generation at night. If the fault is discovered late and the maintenance is not timely, the power generation of the power station will drop, and the overall operation of the photovoltaic power station will be paralyzed in severe cases. Impact ROI

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