Improved Streaming Computing Method Based on IoT Components of Virtual Power Plant

The virtual power plant is an important part of the new power system. Its IoT components need to collect and process energy equipment measurement data in real time, which inevitably uses stream computing. This paper improves the original streaming computing method. By sorting the data according to the reference relationship, it avoids the centralized storage of a large amount of data, reduces the concurrent access to the data, and realizes that each step is parallel; by splitting the data, the data processing in the branch stream is simplified; by encapsulating computing units, the free distribution of computing on distributed computing nodes is realized, avoiding the bottleneck limitation of a single node, and realizing lateral expansion. This ensures stable system operation and efficient use of computing resources.