Statistical Analysis Research on Dynamic Testing Index optimization of High Voltage Power Equipment

Urban city power grid maintains a large number of high voltage power equipment, and the equipment operation environment is very complex. Accurate recognition of equipment condition is the basis for grid's reliable operation, and the equipment test indexes are the important gist of the equipment operation. However, equipment test indexes at present cannot achieve the dynamic adjustment through the equipment operation and environment variety, which impedes the test result. Therefore, the high voltage equipment test indexes system should be improved. This paper shows a statistical analysis of defect and tests data mining of high voltage equipment including transformer and breaker in last two decades in Guangzhou, China. Through data cleaning, this paper extracts valuable data set of test and defects, finds single measurement distribution regularity by drawing histogram and boxplot, and inspects the index relation among the environment, operation period and equipment test indicators by Multiple Regression Algorithm. Then, optimal advices of test indexes optimization suggestions for high voltage equipment are gave by analysis above. The result can indicate the equipment condition more specifically, and can establish a set of dynamic equipment test indexes system by flexible variation of operation period and environment of the equipment.