Planning the Transportation of Multiple Petroleum Products in Pipeline Network based on Model Predictive Control: Automated Planning in the Presence of Disturbance

Document Type : Research Paper

Authors

Department of Electrical Engineering, Faculty of Engineering, Yazd University, Iran

Abstract

Multiple pipeline network is known as the safest and the most cost-effective method to transport local needs for a variety of fossil fuels. In order to achieve this goal, petroleum products in the form of batches with a certain volume must be transported consecutively within the pipelines. The issue of planning the transportation of petroleum product batches within a multiple pipeline network is significant to fulfill the periodic demands of the refined petroleum products distribution system. The multiple pipeline network as a constrained system includes various types of restrictions in the field of production, transportation, and storage of petroleum products. In this paper, we presented automated planning in the form of a constrained optimization problem applying model predictive control strategy based on the nonlinear state-space model. And then we implemented the receding horizon control strategy to delineate daily schedule during a month in the presence of breakdown disturbance such an online planning process that optimization was performed by a weekly prediction horizon at the end of each day and the optimal solution for the first day was applied to the multiple pipeline network as the next day plan. The results of the proposed method show that the optimized plan satisfies the transportation goals regarding the existing constraints and breakdown disturbances.
 

Keywords

References

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Journal of Petroleum Research
Volume 31, 1400-3 - Serial Number 118
September and October 2021
Pages 106-120

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