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- Title
炼油厂原油选购多目标优化.
- Authors
王 佩; 史 彬; 鄢烈祥
- Abstract
In order to ensure the steady production and achieve economic benefits of crude oil processing unit, most refineries often need to control the blending properties and blend different types of crude oil simultaneously. Crude oil purchase optimization has become an important means to improve the economic benefits in refineries. The present work aims at maximizing the blending profit of crude oil purchase and minimizing the property relative deviation between blending crude oil and target crude oil. A multi-objective optimization of crude oil purchase model with mixed integer nonlinear programming is established. Based on the basic multi-objective line competition algorithm(MOLCA), we modified the sort means of target values and added mutation operator , an improved multi-objective line competition algorithm(IMOLCA) was proposed. Then the IMOLCA is employed to solve the optimization problem, which can obtain the Pareto frontier. By analysis of example based on IMOLCA, it is proved that the model and algorithm are effective. The blending solution can provide a reference for crude oil purchase in the refinery.
- Subjects
PETROLEUM; NONLINEAR programming; PETROLEUM refineries; INTEGER programming; GEOGRAPHIC boundaries; PROBLEM solving; MATHEMATICAL programming
- Publication
Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao, 2019, Vol 59, Issue 3, p251
- ISSN
1000-8608
- Publication type
Article
- DOI
10.7511/dllgxb201903005