Abstract:

Crude oil distillation units separate crude oil into different intermediate products. As a leading device in the refining process, it is essential for the production planning and efficiency improvement of the refining process. The purpose of this article is to establish a crude oil distillation units model with high-precision and good solution efficiency. In order to solve the key indicators of true boiling point (TBP) curve, We comprehensively consider the influence of the product's TBP and crude oil TBP, flow rate, temperature and other variables, and construct a nonlinear equation model to characterize the relationship between input and output. We also use the feature selection method to select the relevant variables (including feed properties, adjacent TBP and its quadratic terms, etc.), and choose the whale optimization algorithm to optimize the coefficients of the equations. The simulation results show that the model has higher accuracy in predicting the TBP curve of each distillation and cutting product of crude oil distillation units compared with the existing literature work, and this model is applied to refinery planning optimization. Compared with the traditional pendulum cutting model, the optimization result is better than the traditional swing-cut model.

Key words: crude oil distillation units, equations model, feature selection, whale optimization algorithm, plan optimization

摘要：

常减压装置将原油切割为不同中间产品，其作为炼油工艺的龙头装置，对炼油过程生产计划排产与效益提升至关重要。通过建立一种高精度且具有良好求解效率的常减压模型，用以求解模型关键指标实沸点（TBP）曲线，即综合考虑切割产品的实沸点（TBP）与原油TBP、流量、温度等变量影响，构建非线性方程组模型来表征输入输出间的关系；利用特征选择方法遴选相关变量（包括进料性质、相邻TBP及其二次项等），并采用鲸鱼优化算法优化方程组系数。仿真结果表明，该多输出相互关系模型与已有文献工作相比，在兼顾求解效率基础上，常减压装置各蒸馏切割产品TBP曲线预测上有更高的精度，将此模型应用到炼厂计划优化中，与传统的悬摆切割模型对比，优化结果优于传统悬摆切割模型。

关键词: 常减压装置, 方程组模型, 特征选择, 鲸鱼优化算法, 计划优化