Study on the location of thunderclouds based on irradiance characteristics under lightning meteorological conditions

Yunfeng Cai, Wenbo Li, C. Tong, Jian Xu, S. Liao, Jian Sun
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引用次数: 2

Abstract

In the past decade, lightning activity on land has increased by more than 12% worldwide. With the deepening of the construction of “smart grid”, a large number of renewable energy sources are connected to the grid, and the grid structure and scale are more complex than before. The impact of lightning cannot be ignored. The main purpose of this paper is to prove that the irradiance characteristic curve under lightning conditions is different from that under other weather conditions from the perspective of big data, so as to provide a basis for applying the irradiance monitoring curve of photovoltaic power station to the location of thunder clouds. Firstly, through the observation of the unionized irradiance curve characteristics of a photovoltaic power station in one year under the lightning meteorological conditions using the clear sky and outer earth irradiance model as the reference value, the differences between the two kinds of irradiance curves under the lightning meteorological conditions and other meteorological conditions are described qualitatively from the perspective of graph. Secondly, from the perspective of data, the characteristics of photovoltaic output curve under lightning meteorological conditions are quantitatively analyzed, which is abstracted and defined as the characteristic curve of lightning irradiance. Finally, according to the characteristics defined by the characteristic curve of lightning irradiance, the curve with characteristics of lightning irradiance is screened from the historical data of irradiance, and the cloud and ground lightning monitoring information is used to judge whether there are thunder clouds over the photovoltaic power station in this period, and the accuracy is verified. It is considered that there are thunderclouds over the photovoltaic power plant with lightning irradiance characteristics, and the location of thunderclouds is consistent with the geographic longitude and latitude of the photovoltaic power plant. Therefore, the role of photovoltaic power plants in positioning thundercloud is realized.
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基于闪电气象条件下辐照度特征的雷雨云定位研究
在过去的十年里,全球陆地上的闪电活动增加了12%以上。随着“智能电网”建设的深入,大量可再生能源并网,电网结构和规模比以往更加复杂。闪电的影响不容忽视。本文的主要目的是从大数据角度证明雷电条件下的辐照度特征曲线不同于其他天气条件下的辐照度特征曲线,为将光伏电站辐照度监测曲线应用于雷雨云位置提供依据。首先,以晴空外地辐照度模型为参考值,通过对雷电气象条件下某光伏电站一年内统一辐照度曲线特征的观测,从图形的角度定性描述雷电气象条件下与其他气象条件下两种辐照度曲线的差异。其次,从数据的角度,定量分析雷电气象条件下光伏输出曲线特征,将其抽象定义为雷电辐照度特征曲线。最后,根据闪电辐照度特征曲线定义的特征,从辐照度历史数据中筛选出具有闪电辐照度特征的曲线,利用云和地面雷电监测信息判断该时间段光伏电站上空是否有雷雨云,并对其准确性进行验证。认为光伏电站上空存在具有闪电辐照度特征的雷云,雷云位置与光伏电站所在地理经纬度一致。从而实现了光伏电站对雷云定位的作用。
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