基于可变加工成本的炼油厂生产计划优化模型

Production planning refinery optimization model with variable costs

可变加工成本的计算是石化企业生产计划优化中的重要组成部分,与企业利润直接相关。根据炼油厂生产装置的特点,使用回归分析的方法得到可变加工成本各组成部分和加工量的非线性函数关系式,并由此推导出主要装置的单位可变加工成本函数,将其代入到生产计划的目标函数中,建立炼油厂生产计划的非线性优化模型。应用实例证明该模型与常数单位加工成本模型相比,可以有效地区分同类型加工装置加工成本的差异,调整物料分配,其结果更符合生产实际。

The calculation of variable conversion cost is an important part of production planning optimization in the petrochemical industry. This paper presents a variable cost model for refinery units, which uses a regression analysis to obtain the nonlinear functional relation between the per-unit variable cost and the processing volume. Then, a production planning optimization model is developed using the variable cost functions for the main units in the objective. Compared with a constant cost optimization model, the variable cost model better distinguishs the cost differences between the same types of conversion units to redistribute the streams for a more reasonable solution corresponding to the actual production conditions.