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

Yue Dai; Ruifeng Zhao; Huijuan Tan; Yuezhou Wu; Chen Wang

doi:10.1117/12.3024785

3 April 2024 Research on real-time storage of hybrid data for multi-task dispatching of power grid supported by new mining method

Yue Dai, Ruifeng Zhao, Huijuan Tan, Yuezhou Wu, Chen Wang

Author Affiliations +

Proceedings Volume 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023); 130780V (2024) https://doi.org/10.1117/12.3024785
Event: Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 2023, Wuhan, China

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Dai, Ruifeng Zhao, Huijuan Tan, Yuezhou Wu, and Chen Wang "Research on real-time storage of hybrid data for multi-task dispatching of power grid supported by new mining method", Proc. SPIE 13078, Second International Conference on Informatics, Networking, and Computing (ICINC 2023), 130780V (3 April 2024); https://doi.org/10.1117/12.3024785

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