Planning the Transportation of Multiple Petroleum Products in Pipeline Network Based on Model Predictive Control: Modeling and Long-term Planning

Document Type : Research Paper

Authors

1 Electrical Engineering Department, Yazd University, Iran

2 Department of Electronic and Control, Faculty of Electrical Engineering, Yazd University

Abstract

To yield essential petroleum product demands of consumers in various regions, they must be transported from refineries to depots. Multi-product pipeline networks have a significant role in transporting various petroleum products in Iran and all over the world. The management of transportation represents a critical mission in the operation of multiple pipeline networks. This problem consists of several kinds of constraints in production capacity as well as distribution and storage activities. In this paper, first, a dynamic predictive model in the form of state space is presented, and then by applying model predictive control strategy, a new approach for finite horizon planning as a constrained optimization problem is presented. Moreover, the presented approach divides monthly problem into three consecutive 10-day horizons, then based on predictive control strategy, planning procedure for every 10-days would be on process serially and then hierarchical offline optimization results in monthly planning. Finally, the obtained results showed that the optimized plan satisfied monthly desired product constraints, so the proposed control strategy can be an applicable meta-heuristic method for planning the multiple pipeline networks.
 

Keywords

References

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Journal of Petroleum Research
Volume 30, 99-1 - Serial Number 110
May and June 2020
Pages 99-112

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