王莉, 吴长春, 左丽丽, 陈海宏, 黄燕菲. 基于离散时间的成品油管网中转油库调度优化[J]. 油气储运, 2018, 37(7): 762-767. DOI: 10.6047/j.issn.1000-8241.2018.07.007
引用本文: 王莉, 吴长春, 左丽丽, 陈海宏, 黄燕菲. 基于离散时间的成品油管网中转油库调度优化[J]. 油气储运, 2018, 37(7): 762-767. DOI: 10.6047/j.issn.1000-8241.2018.07.007
WANG Li, WU Changchun, ZUO Lili, CHEN Haihong, HUANG Yanfei. Scheduling optimization of transfer terminal of product pipeline network based on discrete time[J]. Oil & Gas Storage and Transportation, 2018, 37(7): 762-767. DOI: 10.6047/j.issn.1000-8241.2018.07.007
Citation: WANG Li, WU Changchun, ZUO Lili, CHEN Haihong, HUANG Yanfei. Scheduling optimization of transfer terminal of product pipeline network based on discrete time[J]. Oil & Gas Storage and Transportation, 2018, 37(7): 762-767. DOI: 10.6047/j.issn.1000-8241.2018.07.007

基于离散时间的成品油管网中转油库调度优化

Scheduling optimization of transfer terminal of product pipeline network based on discrete time

  • 摘要: 中转油库是成品油管网的重要组成部分,在已有文献中,关于成品油管网调度问题的研究,主要集中在各管道批次计划调度方面,未考虑中转油库的油罐收发油调度。针对中转油库的收发调度问题,在完成计划期内油库上下游的收发油任务的前提下,以油罐的切换操作次数最少为目标函数,建立了离散时间MILP模型。该模型最大限度地考虑了油库调度的各种约束条件,包括物料平衡约束、油罐的操作规则、油库的拓扑结构和油罐来油后静置约束等。以某油库为例对该模型进行测试,结果表明:该模型可以在较短时间内获得全局最优解,对成品油管网中转油库调度工作具有重要的指导作用。

     

    Abstract: Transfer terminal is an important part of product pipeline network. The published literatures on schedule optimization of oil product pipeline network usually focus on the batch plans of each pipeline, without considering the tank loading and unloading schedule of transfer terminals. In this paper, a mixed-integer linear programming (MILP) model with discrete time was developed to deal with the loading and unloading schedule of transfer terminals. This model takes the minimization of tank switching times as the objective function on the premise that the oil loading and unloading assignments before and after the transfer terminal shall be fulfilled in the planned period. Various constraints of transfer terminal scheduling are included in this model as much as possible, e.g., the material balance, the operational rules of oil tanks, the topological structure of transfer terminals and the settling of the oil products stored in a tank. Finally, a certain terminal was taken as example to test this model. It is shown that by virtue of this model, the global optimal solution can be obtained in a shorter time. And it provides important guidance for the scheduling of transfer terminal of product pipeline network.

     

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