期刊名称：IOP Conference Series: Earth and Environmental Science
印刷版ISSN：1755-1307
电子版ISSN：1755-1315
出版年度：2019
卷号：237
期号：3
页码：032101
DOI：10.1088/1755-1315/237/3/032101
出版社：IOP Publishing
摘要：Line loss is an important factor to measure the economy of power system. In order to explore the main factors affecting line loss, the line loss data of 60 stations in a city are screened out by using power information collection system. With the voltage level data as the index, the stations are clustered by the fuzzy clustering algorithm to form effective differential grouping. According to different types of stations, the curve similarity method and regional factor analysis method are used to analyze the weather conditions and the influence degree of the station factors on line loss. The main influencing factors of line loss are obtained. According to the analysis results of each type of stations, the gray correlation analysis algorithm is used to rank the significant factors according to the influence degree. Taking a certain area line loss data as an example, the influencing factors of line loss abnormality are studied. The results show that according to the characteristics of each type of platform area, the model can analyze the factors of each type of platform area and judge the influencing factors at different levels, so as to achieve the effect of targeted and hierarchical governance for different regions.
