Research on Data Integration Technology of Large Power Grid Operation Mode for Unconventional Event Analysis

The operating laws and characteristics of the new power system have undergone fundamental changes, and are intertwined with the impact of unconventional events such as natural disasters, resulting in a significant increase in safety risks. Firstly, based on the online analysis requirements of unconventional events, a data integration framework for the operation mode of the power grid was constructed, covering both online and offline data generation. Secondly, a standardized integration method for online data to simulation calculation data was proposed, which combines processes such as operational data parsing, topology correlation analysis, and flow convergence adjustment based on reactive power configuration. Finally, based on the characteristics of the impact of unconventional events, a predictive and clustered set of power grid faults is dynamically formed, providing basic data for the study of the evolution law of unconventional event modes. The multi-stage power grid operation mode data integration platform based on the above principles is of great significance for realizing the full cycle analysis of unconventional events and the application of emergency support technology.