Fei Sun, Yiping Fan
This paper introduces the six distribution levels of physical object layer, object perception layer, storage layer, operationlayer, analysis layer and parallel control layer of the future parallel power grid architecture. On this basis, a more targetedanalysis model is proposed. Starting from the resource operation level of parallel power grid, the abstract model methodis used to analyse the changes of the architecture of resource nodes in different virtual agent sets. The detailed changes ofthe resource system are described through multi-layer nodes, and the random matrix is used to systematically analyse theoperation data of the parallel power grid in the future so as to obtain the architecture mode with the highest adaptabilitywhen the actual space and virtual space are associated. Considering that the virtual community in the future parallel powergrid is the core part of the architecture, the guidance information received by the virtual community in the power gridis regarded as a three-dimensional state transition probability matrix, which captures the real-time changes of the virtualcommunity. On this basis, taking the future parallel power grid macro-economy as the development prospect, the supplyand 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 withthe actual development needs; the resource utilisation rate and operation income have a positive growth trend and finallyachieve an impressive result of approximately 100%, which is of great help to the development of parallel power grid inthe future
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