廖绮, 梁永图, 张浩然, 邵奇, 张贺. 基于深度搜索法的成品油管道调度计划自动编制[J]. 油气储运, 2017, 36(12): 1391-1400. DOI: 10.6047/j.issn.1000-8241.2017.12.008
引用本文: 廖绮, 梁永图, 张浩然, 邵奇, 张贺. 基于深度搜索法的成品油管道调度计划自动编制[J]. 油气储运, 2017, 36(12): 1391-1400. DOI: 10.6047/j.issn.1000-8241.2017.12.008
LIAO Qi, LIANG Yongtu, ZHANG Haoran, SHAO Qi, ZHANG He. An automatic scheduling method for product pipelines based on depth first search method[J]. Oil & Gas Storage and Transportation, 2017, 36(12): 1391-1400. DOI: 10.6047/j.issn.1000-8241.2017.12.008
Citation: LIAO Qi, LIANG Yongtu, ZHANG Haoran, SHAO Qi, ZHANG He. An automatic scheduling method for product pipelines based on depth first search method[J]. Oil & Gas Storage and Transportation, 2017, 36(12): 1391-1400. DOI: 10.6047/j.issn.1000-8241.2017.12.008

基于深度搜索法的成品油管道调度计划自动编制

An automatic scheduling method for product pipelines based on depth first search method

  • 摘要: 结合水力计算制定调度计划是保证成品油管道安全运行的关键。目前,虽然已有大量关于成品油管道调度计划编制优化的研究,但将水力计算耦合在内鲜见报道。针对单源多汇的成品油管道,考虑了流量约束、批次约束及压力约束,建立成品油管道调度计划自动编制模型,并结合深度搜索法对模型进行求解,快速制定出符合现场需求的调度计划。该模型能够在跟踪各批次油头位置的同时,对各管段进行水力计算,掌握调度周期内管道沿线的能耗情况,并且将该模型应用到某成品油管道进行分析,求解得出符合现场需求的调度计划。该模型计算速度快,生成的调度计划与市场需求偏差较小,具有较强的实用性与通用性。

     

    Abstract: The key to guarantee the safe operation of product pipelines lies in scheduling with hydraulic calculation. So far, product pipeline scheduling optimization has been researched abundantly, but few of them take into consideration the hydraulic calculation. To deal with single-source multiple-terminal pipelines, an automatic product pipeline scheduling model was established based on constraints of flow rate, batch and pressure. Then, it was solved by means of depth first search method, to work out quickly a scheduling plan which meets the field requirements. The model can conduct hydraulic calculation on each pipe segment while tracking the location of each batch head, and figure out the energy consumption along the pipeline in the scheduling period. Finally, this model was applied to a certain product pipeline and consequently a practical scheduling plan was worked out. It is demonstrated that this method is characterized by fast calculation, small deviation between the scheduling plan and the market requirement, and strong practicability and universality.

     

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