Research on real-time storage of hybrid data for multi-task dispatching of power grid supported by new mining method

Abstract

Conventional real-time storage methods for mixed data of power grid multi-task scheduling mainly use ORACLE RAC cluster to convert the storage format of mixed data, which is easily affected by the high concurrent response of storage, resulting in poor storage hit effect. Therefore, it is necessary to explore new methods to support the design of real-time storage methods for mixed data of power grid multi-task scheduling. This study designed a real-time storage consensus mechanism. Based on this, the real-time data storage algorithm has been updated. The experimental results show that the designed real-time storage method of mixed data for power grid multi-task scheduling has good storage effect, reliability and certain application value, and has made certain contributions to improving the efficiency of power grid multi-task scheduling.