基于大数据技术的光伏组件清洗算法模型研究

Research on Photovoltaic Module Cleaning Algorithm Model Based on Big Data Technology

光伏组件长时间裸露在外面,尘埃以及空气中杂物很容易堆积在光伏组件的表面,使得光伏组件表层可以接受到的光照强度减少,造成光伏组件输出功率减少,结果导致整个电站发电量减少。主要采用大数据分析技术和统计框架,利用光伏组件的发电电流和光伏组件所受到辐射强度的自然特征,并通过统计对光伏组件在一个适当时间内的发电量数据和辐射强度数据的计算,来衡量对光伏组件的灰尘情况和清洁周期建议。

When photovoltaic modules are exposed outside for a long time,dust and other debris in the air are easy to accumulate on the surface of photovoltaic modules,which reduces the light intensity that can be received by the surface of photovoltaic modules,resulting in the reduction of the output power of photovoltaic modules,and thus the power generation of the whole power station.This paper mainly used the large data analysis technology and statistical framework,using the current of the photovoltaic modules and photovoltaic components by physical features of the radiation intensity,and through the statistics of the output of photovoltaic modules in an appropriate time data and the calculation of radiation intensity data,measured dust condition of photovoltaic modules and cleaning cycle.