Yunfeng Cai, Wenbo Li, C. Tong, Jian Xu, S. Liao, Jian Sun
{"title":"Study on the location of thunderclouds based on irradiance characteristics under lightning meteorological conditions","authors":"Yunfeng Cai, Wenbo Li, C. Tong, Jian Xu, S. Liao, Jian Sun","doi":"10.1109/ICLPandSIPDA54065.2021.9627389","DOIUrl":null,"url":null,"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.","PeriodicalId":70714,"journal":{"name":"中国防雷","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国防雷","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICLPandSIPDA54065.2021.9627389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.