Distributed storage and processing of real-time data in smart grid dispatching and control systems

Existing real-time data processing will come to a performance limitation with the rapid development of power grid. This paper proposes a method of distributed storing and processing for real-time data in smart grid dispatching and control systems. The method applies the multi-machine-multi-thread and parallel computing technology to improve data processing efficiency. Real-time data is partitioned into fragments according to region information. By experiments, we prove that distributed storing and processing technology has obvious advantages on performance compared with the original solution, and it can help to relieve the stress of large-scale real-time data processing in smart grid dispatching and control systems.