Nonlinear production plan optimization method applied to oil refineries

A technology of production planning and optimization methods, applied in data processing applications, calculations, predictions, etc., can solve large-scale, multi-constraint problems that plague the use of evolutionary algorithms, etc.

Inactive Publication Date: 2012-08-01
ZHEJIANG UNIV
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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 nonlin

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  • Nonlinear production plan optimization method applied to oil refineries
  • Nonlinear production plan optimization method applied to oil refineries
  • Nonlinear production plan optimization method applied to oil refineries

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Embodiment Construction

[0112] In order to describe the present invention more specifically, the hybrid search method for the optimal production plan of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0113] A nonlinear production planning optimization method applied to an oil refinery, comprising the following steps:

[0114] (1) Establish a logical network for refinery production.

[0115] Taking an oil refinery as the research object, the process data is obtained from the workshop site. figure 1 is the production flow diagram of the refinery, where the connecting lines indicate the route of material flow, and the arrows indicate the direction of material flow. The process includes:

[0116] Atmospheric and vacuum distillation unit CDU1, atmospheric and vacuum distillation unit CDU2;

[0117] Catalytic cracking unit FCC1, catalytic cracking unit FCC2;

[0118] Catalytic reforming unit CRU;

[0119] Delayed coking...

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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...

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Application Information

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IPC IPC(8): G06Q10/04
Inventor 冯毅萍荣冈张国泽
Owner ZHEJIANG UNIV
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