Nonlinear production plan optimization method applied to oil refineries

Abstract

The invention discloses a nonlinear production plan optimization method applied to oil refineries, which includes the steps: firstly, setting up an oil refining production logic network; secondly, setting up process modules of an atmospheric and vacuum CDU (crude distillation unit) and a FCC (fluid catalytic cracking) unit; thirdly, inputting all constraint condition data and determining a target function in two-stage search; and fourthly, using the mixed searching method to optimally determine production plan decision variables. The genetic algorithm and direct search algorithm are combined on the basis of the simulation modeling technique, global profits of an oil refinery production plan can be effectively increased without destroying the constraint conditions, tremendous computation generated during solving of complex production plan problems can be avoided, and optimized solutions can be quickly obtained. The nonlinear production plan optimization method is simple in principle, convenient in implementation, high in transportability and applicable to different production plan environments.

Description

technical field [0001] The invention relates to the field of computer optimization of the production process, in particular to a nonlinear production planning optimization method applied to oil refineries. Background technique [0002] The production plan is the pre-arrangement of the production activities organized by the oil refining enterprise. It determines what kind of production and operation goals the company wants to achieve, and how to achieve such goals. The production plan is not only the reflection and refinement of the petrochemical enterprise's operation and development strategy on the production side, linking the upstream procurement plan with the downstream distribution plan and demand plan, but also an abstract summary of crude oil scheduling, equipment and pipeline scheduling, and oil product blending. The optimization of production plan is the core of refining enterprises to solve the problem of production efficiency. [0003] The refinery production plan...

AI Technical Summary

Problems solved by technology

[0009] The nonlinear empirical model including process parameters is also gradually integrated into the production planning model. The current optimization of refinery production planning mainly relies on numerical optimization methods, but the integration of nonlinear relationships makes traditional linear programming methods powerless. The characteristics of large-scale and multi-constraints also plague the use of meta-heuristic methods such as evolutionary algorithms, particle swarm optimization, and ant colony algorithms.

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