Research on voltage quality analysis system based on kernel density estimation for power grid

The voltage quality analysis and evaluation are the important means to characterize power system operation and provides key parameters for power system stability control and optimal operation. In view of massive and heterogeneous data of the present power system, the article summarizes and analyzes the defects of the traditional evaluation method of voltage quality and the existing bottlenecks of power system data analysis software. In the current voltage quality analysis is method, the kernel density estimation is introduced to solve the problem that the existing methods can not reflect the voltage fluctuation in the voltage quality analysis. R language analysis tool is used to develop and implement the software, which adds 3 new indexes, such as standard deviation, kernel density distribution and violin distribution. Through the examples of the kernel density estimation with distribution curve can correct response voltage on the voltage of the year, can realize the voltage violin daily kernel density estimation for abnormal distribution based on screening.