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Photovoltaic power generation-oriented cloud layer tracking and pre-warning method for foundation cloud chart

A technology of photovoltaic power generation and ground-based cloud image, which is applied in the field of solar power generation, can solve the problems of reduced accuracy and achieve the effects of improved accuracy, high stability, and improved early warning effect

Active Publication Date: 2017-05-31
ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0007] Clouds are flexible objects, and their shape is easily deformed by wind and other factors in actual situations, which greatly reduces the accuracy of the above estimation method

Method used

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  • Photovoltaic power generation-oriented cloud layer tracking and pre-warning method for foundation cloud chart
  • Photovoltaic power generation-oriented cloud layer tracking and pre-warning method for foundation cloud chart
  • Photovoltaic power generation-oriented cloud layer tracking and pre-warning method for foundation cloud chart

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Embodiment Construction

[0033] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0034] like figure 1 As shown, the ground-based cloud image cloud tracking and early warning method for photovoltaic power generation includes the following steps:

[0035] (1) Image preprocessing: image preprocessing for each frame of cloud layer image (which can be collected in real time by a synchronous camera installed on a photovoltaic power generation device): grayscale and binarization:

[0036] Image grayscale:

[0037] f(i,j)=0.3R(i,j)+0.59G(i,j)+0.11B(i,j)(1)

[0038] Binary image:

[0039]

[0040] Where f(i,j) and g(i,j) represent the grayscale image and binary image corresponding to the cloud layer image respectively, R(i,j), G(i,j), B(i,j) represent the cloud layer Three kinds of images after image RGB channel separation, T 1 Represe...

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Abstract

The invention discloses a photovoltaic generated power short-term forecast-oriented cloud layer tracking and pre-warning method for a foundation cloud chart. The method comprises the steps of preprocessing cloud layer images; identifying a circle center of sun; defining and setting primary and secondary round warning regions; calculating motion information of pixel points of each cloud layer; judging whether the warning regions are accessed or not; and judging time of reaching a sun region by each cloud layer through calculating centripetal distances of the pixel points of the cloud layer. According to the method, the cloud layers of the foundation cloud chart can be better subjected to tracking, motion information analysis and pre-warning; the stability is high; and relatively good idea and method are provided for photovoltaic power generation process-oriented power short-term forecast.

Description

technical field [0001] The invention belongs to the technical field of solar power generation, and in particular relates to a ground-based cloud map cloud layer tracking and early warning method for photovoltaic power generation. Background technique [0002] As an emerging renewable energy, solar energy has great advantages such as cleanliness and environmental protection, so it has been widely promoted and applied. Solar photovoltaic power generation is a power generation device that is directly exposed to sunlight to generate electrical energy. Due to its simple structure and easy installation and transportation, photovoltaic utilization has become the most important application form in the development and utilization of solar energy. [0003] The output power of photovoltaic power generation devices is mainly affected by cloud cover. When the clouds cover the sun, the output power drops suddenly; when the clouds leave the range of the sun, the output power rises again. ...

Claims

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Application Information

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IPC IPC(8): G06T7/207
CPCG06T2207/30192
Inventor 侯北平王周敏穆清萍朱文于爱华周乐李刚
Owner ZHEJIANG UNIVERSITY OF SCIENCE AND TECHNOLOGY
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