Transmission Line Evaluation of Smart Grid Based on Big Data Mining

Large data mining is very important in the application of power system since the data of power system is rather redundant. In this paper, an evaluation method of power system transmission line parameters based on the micro-meteorological environment is proposed. Cloud computing processing technology is utilized for constructing the online dynamic parameter evaluation system, so that the real-time data collected by power system measurement devices and the environment data of the micro-meteorological monitoring system can be identified, evaluated and corrected. This system is calculated theoretically and verified on real web, the results show that the micro-meteorological parameter evaluation system can evaluate the mutation parameters of transmission lines in real time and provide a new opportunity for the security analysis and stability control of large power systems.