Portrait Analysis of Power Transmission Line for Smart Grid Based on External Data Association Fusion

The big data analysis plays a significant role in the next-generation power system. The efficient utilization of big data from the smart grid environment is helpful in realizing intelligent control and prediction of power supply and power planning. In this paper, the vision of big data analysis of power transmission lines is discussed by integrating the external data association. The state characteristics of transmission line equipment relating to the user characteristics, economic data and external environment is considered in the proposed framework for transmission line portrait model. The correlation matrix for both internal and external influencing factors is obtained to build the portrait model of the transmission line equipments. Different regression methods are applied to establish the corresponding regression models. This study can serve as a perspective of big data portrait analysis for researchers and industries in wise power grid planning, reliable power resource management and smart decision-making.