Research on Influencing Factors of Line Loss Based on Multi Model Analysis

4th International Conference on Advances in Energy Resources and Environment Engineering

能源学;生态环境科学

Liu, Junling^1 ; Cui, Xiuqing^2 ; Chen, Yan^1 ; Zhao, Jiakui^1 ; Liu, Yuxi^1 ; Ou, Yanghong^1 ; Yuan, Bao^1

Beijing China-power Information Technology Co. Ltd., Haidian District Beijing, China^1

Marketing Department, Stage Grid Corporation of China, China^2

关键词: Curve similarities;    Gray correlation analysis;    Hierarchical governance;    Influence degree;    Information collections;    Platform area;    Regional factors;    Voltage levels;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/237/3/032101/pdf
DOI  :  10.1088/1755-1315/237/3/032101

学科分类：环境科学（综合）

来源: IOP

【 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.