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Photovoltaic power station generation power prediction method based on shadow recognition

A technology for generating power and photovoltaic power plants, applied in forecasting, image data processing, instruments, etc., can solve problems such as difficulty in finding characteristic data, accurate forecasting, and difficulty in forecasting power generation data, achieving accurate power generation and reducing additional overhead and costs. Effect

Inactive Publication Date: 2020-12-22
刘灿灿
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AI Technical Summary

Problems solved by technology

In solar photovoltaic power generation, the prediction of power generation data is difficult to accurately predict through a single method, which is manifested by the difficulty of finding characteristic data, especially when there are shadows

Method used

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  • Photovoltaic power station generation power prediction method based on shadow recognition
  • Photovoltaic power station generation power prediction method based on shadow recognition
  • Photovoltaic power station generation power prediction method based on shadow recognition

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Embodiment 1

[0032] Photovoltaic Power Generation Power Prediction Method Based on Shadow Recognition:

[0033] Step 1. When the weather is free of rain and snow and the solar radiation intensity is greater than the threshold, the orbital camera is used to collect orthophoto images of photovoltaic panels.

[0034] First, deploy rain and snow sensors and illuminance sensors at the photovoltaic panels, and deploy a rain and snow sensor and illuminance sensor in each row, column or area. Finally, the sensors should be able to effectively cover the photovoltaic power station area.

[0035] Then obtain the values ​​of the rain and snow sensor and the illuminance sensor on the photovoltaic panel in real time. When the weather is free of rain and snow and the solar radiation intensity is greater than the threshold, the image information is collected. The threshold is set freely by the implementer. Generally speaking, the power generation It has the greatest relationship with the intensity of sunl...

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Abstract

The invention discloses a photovoltaic power station generation power prediction method based on shadow recognition. The method comprises the steps of collecting an orthoimage of a photovoltaic cell panel; performing histogram equalization and semantic segmentation on the photovoltaic cell panel orthoimage, and extracting a shadow region in the photovoltaic cell panel to obtain a shadow region segmentation binary image; utilizing the shadow region segmentation binary image to obtain a shadow region image from the equalized ortho-image; converting the shadow area image into an HSV color space,and analyzing the depth degree of the shadow area according to a shadow area depth degree analysis model; analyzing the shadow region segmentation binary image to obtain a shadow region type and a shadow region area; and sending the shadow region depth degree, the shadow region area, the shadow type and the illumination radiation intensity into a time sequence prediction model, and predicting thephotovoltaic power station generation power in the future time period. According to the invention, the generation power prediction accuracy is improved.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence, computer vision, and photovoltaic power generation, and in particular to a method for predicting power generation power of a photovoltaic power station based on shadow recognition. Background technique [0002] Although photovoltaic power generation has many advantages, its power generation is restricted by a large number of environmental factors. Meteorological factors such as irradiance, ambient temperature, and atmospheric humidity not only restrict the output power of the photovoltaic power generation system, but also cause intermittent and random fluctuations in the output power of photovoltaic power generation. unstable. With the increase in the number of grid-connected photovoltaic systems, the safe and stable operation of the power system has been disturbed by many. If large-scale photovoltaic power generation is connected to the grid, the system needs to provide a rota...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/62G06T5/40G06T7/90G06Q10/04G06Q50/06
CPCG06Q10/04G06Q50/06G06T5/40G06T7/0004G06T2207/10004G06T2207/20084G06T2207/20088G06T2207/30108G06T7/11G06T7/136G06T7/62G06T7/90
Inventor 刘灿灿周美跃
Owner 刘灿灿
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