Research on the high-availability strategy of massive power measurement data of new power systems

Power measurement data runs through the whole process of power system production and sales, which guarantees the secure operation of the system. However, power measurement data for the new power system has some problems, such as excessive data volume and poor availability. To address the aforementioned issues, a high availability strategy for power measurement data based on the grading guarantee of critical data is proposed. First, combined with the characteristics of power measurement data, we propose a gradation method for key measurement data. Then, we propose a disaster recovery and backup method based on particle swarm optimization (DBPSO) to ensure rapid recovery and reconstruction of critical data after system failure or data damage. Simulation effects demonstrate that the proposed algorithm could support demands for high availability management and assurance of massive measurement data in new power systems.