Research on future parallel power grid architecture

This paper introduces the six distribution levels of physical object layer, object perception layer, storage layer, operation layer, analysis layer and parallel control layer of the future parallel power grid architecture. On this basis, a more targeted analysis model is proposed. Starting from the resource operation level of parallel power grid, the abstract model method is used to analyse the changes of the architecture of resource nodes in different virtual agent sets. The detailed changes of the resource system are described through multi-layer nodes, and the random matrix is used to systematically analyse the operation data of the parallel power grid in the future so as to obtain the architecture mode with the highest adaptability when the actual space and virtual space are associated. Considering that the virtual community in the future parallel power grid is the core part of the architecture, the guidance information received by the virtual community in the power grid is regarded as a three-dimensional state transition probability matrix, which captures the real-time changes of the virtual community. On this basis, taking the future parallel power grid macro-economy as the development prospect, the supply and demand balance conditions of the future power grid are obtained to help the power grid achieve strong development. The experimental results show that the parallel power grid architecture optimised by this method is more in line with the actual development needs; the resource utilisation rate and operation income have a positive growth trend and finally achieve an impressive result of approximately 100%, which is of great help to the development of parallel power grid in the future. © 2023 Fei Sun et al., published by Sciendo.