Abstract: Considering the demand of energy consumption and inventory in refinery production schedule ，on account of a
refinery practical situation ， the global model which includes four process units such as atmospheric vacuum distillation ，
catalytic cracker ， solvent oil equipment and gas separation equipment were established ． The objective function of the
optimization is to maximize the profits of the whole refinery ． The decision variables are every output of the product ． The
constraints in the optimization include mass balance ， equipment processing and quality demand ． The energy consumption
constraint and inventory constraint with integral form was presented ．Transforming the model to nonlinear programming and
solving it by matrix least square method ，an example in the end proves the validity of this model ．

Key words: Refinery schedule , Production － inventory optimization , Compromise programming , Least square method

摘要： 为了满足炼厂生产调度过程中能耗和库存的约束要求,针对流程工业实际情况,建立具有常减压、催化裂化、溶剂油装置和气体分离装置4个单元的炼厂全流程非线性规划优化模型。为使目标函数即炼厂的利润最大或是成本最小,对决策变量为各装置产品的产量进行优化排产,协调控制原料与产品的库存。考虑到在非线性系统的优化模型中,存在约束条件相互制约而导致无解的情况,采用矩阵最小二乘法,应用 Matlab求解,得到与各个约束条件误差最小的妥协解。

关键词: 炼厂调度 , 生产与库存优化 , 妥协规划 , 最小二乘法