Optimization of Data Processing Methods for Grid Voltage Monitoring

There exists a huge amount of online monitoring equipment in the power grid, which theoretically can provide real-time and accurate grid voltage synchronization data for the system. However, due to the fact that the manufacturers' equipment cannot be unified, the type and structure of the uploaded monitoring data cannot be consistent. To solve this problem, this paper first constructs data correction rules to optimize the data. Then the missing data due to the elimination of the correction rules, a strategy based on the time-domain Gaussian process to improve the missing data prediction is proposed. Finally, the effectiveness of the proposed strategy is verified by taking a typical task of voltage data monitoring.