Method of Analyzing Transformer DC Magnetic Bias Based on Big Data Clustering and Relevance Analysis

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Yuan, Pei^1 ; Wan, Tao^1 ; Wu, Xiaowen^1 ; Ye, Huisheng^1 ; Mao, Wenqi^2

State Grid Hunan Electric Power Company Limted Research Institute, Changsha, Hunan

410007, China^1

State Grid Hunan Electric Power Company Limted, Changsha, Hunan

410004, China^2

关键词: Data analysis methods;    Data clustering;    Dc magnetic bias;    Improved k-means clustering;    Magnetic currents;    Relevance analysis;    Sequence control;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/3/032027/pdf
DOI  :  10.1088/1755-1315/310/3/032027

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this paper, the big data analysis method is applied to the analysis of the factors affecting the DC magnetic bias of the transformer. The improved k-means clustering algorithm is used to identify the different magnetic reasons. The weighted relevance analysis is used to evaluate the influence of different factors on the magnetic current. Finally, the correctness of the method is verified by an example analysis, thus providing an effective basis for "one-button sequence control" DC magnetic bias treatment.