Nonlinear optimization method for high-performance petroleum blending

Abstract

The invention discloses a nonlinear optimization method for high-performance petroleum blending. The rule combining linear blending and nonlinear blending is adopted to improve the petroleum product blending precision of a petroleum processing enterprise. The nonlinear optimization method supports the comprehensive index combining minimum difference between the blended petroleum nature content and the target and optimal economy, supports the four optimization modes that the petroleum nature content is valued within a range, the petroleum nature content is optimized towards the lower limit, the petroleum nature content is optimized to the upper limit and the petroleum nature content is optimized within the range, and improves the production flexibility. A system automatically generates a petroleum blending formula and issues the petroleum blending formula to a control system to be executed. The nonlinear optimization method can provide petroleum blending formulas meeting the national standard requirements for petroleum blending of refining factories, avoid mass surplus and increase the production efficiency and economical benefits and is particularly suitable for being used for petroleum processing of petroleum refining enterprises.

Description

technical field [0001] The invention relates to the field of gasoline blending in oil refining enterprises, in particular to an optimization method for gasoline blending, in particular to a nonlinear optimization method for high-performance gasoline blending. Background technique [0002] As my country's environmental protection requirements are increasing day by day, gasoline is required to meet more stringent emission standards. At the same time, with the rise of world oil prices, oil refineries must achieve quality card edge control in order to improve efficiency. The above problems require that gasoline blending must be controlled with higher precision. [0003] For the convenience of implementation, the existing gasoline blending technology mainly uses linear blending rules to approximate, but there are complex blending effects between blending components, especially the octane number, which is difficult to accurately predict using linear blending rules blending resul...

AI Technical Summary

Problems solved by technology

[0003] For the convenience of implementation, the existing gasoline blending technology mainly uses linear blending rules to approximate, but there are complex blending effects between blending components, especially the octane number, which is difficult to accurately predict by linear blending rules blending result

Although some gasoline blending technologies take into account the nonlinear problem of octane number, there are other properties, such as Reid vapor pressure, which also have nonlinear characteristics

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