Application of Distribution Network Digital Twin Generation Based on Multi-Dimensional Data Fusion in Power Supply Service Command

With the development of the smart grid, distribution network digital twin technology plays an increasingly important role in power supply service command. This paper discusses the role and application of multidimensional business data fusion in generating a distribution network digital twin to provide a reference for developing a smart distribution network. Digital twin technology combines actual grid equipment with digital models to optimize the control of grid operation status through real-time data acquisition, analysis, and processing. Among them, multidimensional business data fusion plays a crucial role in the generation of digital twins for power distribution grids, which allows the huge and complex grid equipment and details to be seen, to realize the visualization and command of grid operation and maintenance. This paper proposes a multidimensional business data fusion-based distribution network digital twin generation technology, which can realize the comprehensive perception, accurate modeling, and intelligent analysis of the distribution network, and provide powerful support for the power supply service command. This paper describes in detail the realization principle and specific steps of this technology, including data acquisition, data standardization processing, data relevance calculation data fusion, etc., and verifies its effectiveness and superiority through experiments. Finally, this paper discusses the specific application scenarios of this technology in power supply service command, such as fault diagnosis and localization, load forecasting, management, etc., which provides new ideas and methods to improve the quality and reliability of power supply service. Overall, multidimensional business data fusion plays an important role in the generation of digital twins for distribution grids, which provides strong support for the development of smart distribution grids.