Distributed photovoltaic data virtual acquisition method

Abstract

The invention discloses a distributed photovoltaic data virtual collection method, and the method comprises the steps: analyzing historical operation and maintenance data of a distributed photovoltaic power station which is provided with a data collection device in a region through employing a grey correlation theory, and obtaining a characteristic curve of irradiance and distributed photovoltaicoutput; and then making correlation degree calculation on the regional daily irradiance real-time information and historical irradiance data, selecting similar days according to the correlation degree, establishing a BP neural network data virtual acquisition model to achieve virtual acquisition of all distributed photovoltaic data in a regional range. According to the invention, irradiance information closely related to photovoltaic output power is used to carry out virtual acquisition of photovoltaic output data; compared with an existing photovoltaic output prediction method, the invention has the advantages that the required data size is small, the data input dimension is reduced, the algorithm is greatly simplified, the output data of the photovoltaic power station in a whole day can be collected systematically, the model is simplified, a network model does not need to be trained in a time-phased mode, and the purpose of minimizing the cost is achieved while the data precision is guaranteed.

Description

technical field [0001] The invention belongs to the field of electric power technology, relates to distributed photovoltaic operation and maintenance data collection, and is a virtual collection method of distributed photovoltaic data based on a mixture of gray correlation degree and BP neural network. [0002] technical background [0003] Photovoltaic power generation is the fastest growing renewable energy technology in recent years. As of the end of September 2019, the installed capacity of photovoltaic power generation reached 190 million kilowatts, of which distributed photovoltaics accounted for more than 30%, and the number of users exceeded hundreds of thousands. Massive distributed photovoltaic power plants have the characteristics of complex and diverse application scenarios, different weather conditions, and different grid structures of access points. They face many difficulties in obtaining operation and maintenance information, customizing decision-making models...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: massive distributed photovoltaics have a large amount of operation and maintenance data, and the cost of data collection, transmission, and storage is too high, and it is necessary to realize a low-cost, high-efficiency distributed photovoltaic operation and maintenance data collection scheme

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