Sun identification device for photovoltaic power station

Abstract

The invention relates to a sun identification device for a photovoltaic power station and belongs to the field of photovoltaic generation tracking systems. The device comprises a system computer provided with a module for positioning the sun by using a clock and a small double-shaft tracker controlled by the system computer, a small photovoltaic assembly is arranged on the small double-shaft tracker, an electric quantity detection device is arranged on the output of the small photovoltaic assembly and connected onto the system computer, the system computer first drives the small double-shaft tracker to perform primary position on the small photovoltaic assembly and collects electric quantity values on the electric quantity detection device, then the small double-shaft tracker drives the small photovoltaic assembly to move nearby the primary position, and the system computer collects electric quantity values at corresponding positions and selects the maximum electric quantity position as a new sun position for use of a large photovoltaic generating module after comparison with the electric quantity value at the primary position. The device is easy to popularize and apply to large photovoltaic generating modules.

Description

technical field [0001] The invention relates to a sun recognition device, in particular to a sun recognition device for a photovoltaic power station, belonging to the field of photovoltaic power generation tracking systems. Background technique [0002] Photovoltaic power generation is recognized as one of the important clean power generation methods in the future. Although it will encounter various problems in the development process, the industry is still optimistic about its prospects. The cost of photovoltaic power generation is one of the main bottlenecks in the large-scale development and application of pharmaceuticals. In order to reduce costs, the industry has adopted various technical means, such as technological improvement in the manufacturing field, improvement of cell efficiency, and thinning of thickness. These means focus on reducing the cost of photovoltaic modules. Another way is to increase the cost of photovoltaic The power generation efficiency of modules...

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Problems solved by technology

[0002] Photovoltaic power generation is recognized as one of the important clean power generation methods in the future. Although it will encounter various problems in the development process, the industry is still optimistic about its prospects. The cost of photovoltaic power generation is one of the main bottlenecks in the large-scale development and application of pharmaceuticals. In order to reduce costs, the industry has adopted various technical means, such as technological improvement in the manufacturing field, improvement of cell efficiency, and thinning of thickness. These means focus on reducing the cost of photovoltaic modules. Another way is to increase the cost of photovoltaic The power generation efficiency of modules, such as concentrating photovoltaic power generation systems, tracking photovoltaic power generation systems, etc., among which tracking photovoltaic systems have been widely used in recent years due to the advantages of less hardware investment and easy implementation. In tracking photovoltaic power generation systems, The identification of the sun position is the most basic and critical link. If this system is inaccurate, it will not be able to maximize the power generation of the system. There are several ways to identify the sun position currently in use. The first is the photosensitive device type, which uses The photosensitive device directly detects the intensity of sunlight and sends signals to the controller through the sensor, and the controller drives the dual-axis tracker to realize the change of azimuth and altitude angles to track the position of the sun. This method is simple in structure and high in sensitivity, but it is accurate It is highly dependent on the climate, and there will be large errors in the case of rain, fog, and sandstorms. Some scholars have proposed a fisheye recognition system. This system uses image recognition technology to find bright spots from the image formed by the image sensor as a location. The basis of this kind of system is simple, but it needs a lot of computer image processing technology, the algorithm is complex, and the precision requirements of technology and segmentation are high, and there will also be certain errors in the case of rain, fog, and wind and sand. The simplest One of the methods is the clock identification method. This method calculates the altitude and azimuth of the sun's position according to the latitude of the geographical location where the photovoltaic power generation module is installed, and according to the revolution and rotation changes between the earth and the sun, and implants it into the computer. In this method, the photovoltaic power generation module is controlled. This method uses solar physics and geographic information to obtain the sun's trajectory, writes relevant software calculations, and obtains the sun's position at the corresponding time. This method does not require additional investment in hardware equipment. However, it is necessary to correct the calculation error of the formula itself for calculating the sun position, the accuracy error of the mechanical structure, and the accumulated error during the entire tracking process.

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