Integrated optimization of crude oil procurement planning and blending scheduling for property stabilization

被引:1
|
作者
Zheng, Wanpeng [1 ]
Gao, Xiaoyong [1 ]
Huang, Fuyu [1 ]
Zuo, Xin [1 ]
Chen, Xiaozheng [1 ]
机构
[1] China Univ Petr, Dept Automat, Beijing 102249, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
Crude oil; Procurement planning; Blending scheduling; Integrated optimization; Mixed-Integer Nonlinear Programming (MINLP); CONTINUOUS-TIME FORMULATION; ADAPTED GENETIC ALGORITHM; LINEAR-PROGRAMMING MODEL; SCHEDULABILITY ANALYSIS; REFINERY; OPERATIONS; TRANSPORTATION; UNCERTAINTY; STRATEGY; MIXTURE;
D O I
10.1016/j.compchemeng.2024.108716
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Crude oil procurement and blending are key processes in refinery production. When solving the integrated optimization problem of simple oil procurement and blending, the following issues are mainly considered: how to establish an integrated optimization model of crude oil procurement and blending process under different time scales to minimize the cost of procurement under the premise of ensuring the stability of the properties of blended crude oil. The paper proposes an integrated optimization model, takes cost minimization as the model's objective function, and provides stability through the yield and property constraints of blended crude oil. Then, the paper describes the procurement process by an event-based representation and the blending process by a continuous event representation and proposes a hybrid event-time-based representation to describe the model. Finally, this paper verifies the model's effectiveness in solving real production problems through case simulations.
引用
收藏
页数:18
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