Distributed optimization model reconstruction method based on complex chemical process and related device

Abstract

The application discloses a distributed optimization model reconstruction method based on a complex chemical process and a related device, relates to the technical field of chemical system engineering and numerical optimization calculation, and comprises the following steps: acquiring system structure parameters, flow connection parameters and process constraint parameters of a target chemical process system; decoupling and dividing the target chemical process system into a plurality of local subsystems according to a coupling relationship between material flow and energy flow; determining a selected distributed optimization algorithm; performing mathematical reconstruction on coupling boundary variables and consistency constraints between the local subsystems according to a corresponding model reconstruction strategy matched with the architecture type of the distributed optimization algorithm, to obtain a reconstructed mathematical model; performing distributed parallel iteration solving on the reconstructed mathematical model, and outputting a distributed optimization result. The application can improve the optimization efficiency and effect of the chemical process system, thereby reducing the operation cost of the chemical process system and improving the operation performance of the chemical process system.

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