In order to explore the application benefits of data fusion technology in power systems, this paper studies its practical applications in smart grids, distribution automation, and electric vehicle charging infrastructure management through real-time data analytics and multi-source information integration. Using methods such as data collection, condition monitoring, demand forecasting, and optimization control, the impact of data fusion on improving equipment operation efficiency, fault detection accuracy, and charging station management was systematically evaluated. The results show that data fusion technology significantly optimizes power equipment predictive maintenance, improves the operation efficiency of charging infrastructure, and enhances the overall stability of the power grid. This technology has great potential to reduce energy consumption and operating costs， providing important support for the continuous optimization and intelligent management of power systems.