Study On Heliostat Tracking Correction Strategy Of Concentrating Solar Power Tower System

In the photovoltaic power generation system,in order to ensure the reliable and accurate tracking of the tracking bracket according to the day and realize the background visualization effect of the operating parameters of the field bracket,a meteorological hub node is set in the system,through which the monitoring center obtains the operating parameters of the field bracket and makes reasonable adjustments according to the operating parameters to ensure the safety and high efficiency of the whole power generation system.In order to further enhance the flexibility,autonomy and intelligence of the central node and improve the power generation efficiency of the power generation system,this topic has carried out in-depth research on the central system,and the specific work is as follows:1、This paper analyzes the present situation of the flat uniaxial power generation system,and proposes a Zigbee wireless communication scheme based on dual channels aiming at the wired data communication mode between the meteorological central system and the tracking bracket,which improves the data throughput and avoids the tedious wiring work on site.In order to improve the flexibility and autonomy of meteorological central system,this paper optimizes the traditional data communication structure of power generation system,and creates an embedded central platform based onμC/OS-Ⅲ real-time system with STM32 microcontroller and zigbee wireless communication module as the core.In this platform,the functions of wireless access to support information based on Modbus-RTU protocol,providing external data interface,obtaining feedback information of image platform,obtaining real-time irradiance data of ground surface,obtaining and broadcasting real-time wind speed and UTC time on site are completed respectively.2、Aiming at the problem of optimal angle tracking in cloudy days,based on the meteorological central system designed in 1,combined with the existing image vision technology and methods,an intelligent central optimal tracking control scheme for photovoltaic array in cloudy days is proposed.In this scheme,aiming at the problem of insufficient visual field of the visual platform,the network fisheye camera is used instead of the traditional two-dimensional motion platform+ordinary camera;In order to obtain distortion-free fisheye image,this paper studies the establishment of fisheye lens model and uses Kannala approximate polynomial correction model to complete image correction;In order to detect the position of clouds and the sun’s shading rate in the image,a detection idea based on color features combined with K-means clustering is proposed.The cloud image is segmented,and the segmentation results are converted into HLS color gamut.Finally,the sun’s shading rate is calculated based on brightness and saturation.3、In order to obtain the real-time irradiance data,a voltage and current detection circuit is designed based on the self-powered system,and the real-time irradiance is obtained according to the ratio of real-time power to solar panel area.In this paper,a simulated experimental environment is set up to test each functional module of the system,and field experiments are carried out.The experimental results show that the scheme of photovoltaic array cloudy tracking control system based on intelligent hub designed in this paper has great application potential in the field of flat uniaxial tracking control.