Abstract
Since the transformer will produce line loss in the process of distributing power to users, in order to obtain accurate and reliable line loss data, it is very important to identify the correctness of household transformer relationship. The correlation coefficient method can analyze the influence degree of indicators and indicators, indicators and research objects, it has certain advantages in measuring linear correlation and judging the correlation of random variables. Therefore, this paper takes the identification of the relationship between stations and households as the background, and uses the data of power supply, line loss rate and user power consumption as the support to calculate the three correlation coefficients of Pearson, Spearman and Kendall. Based on the calculation results, different stations and time periods are selected to test to verify the reliability of the correlation coefficient method. The test results show that the correlation analysis method combined with three correlation coefficient calculation methods can effectively distinguish whether the household change relationship exists. The technical method of correlation coefficient is more practical for solving the related problems of classification and identification.
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