石油学报 ›› 2019, Vol. 40 ›› Issue (8): 990-996.DOI: 10.7623/syxb201908010

• 石油工程 • 上一篇    下一篇

油品需求型成品油管道分输计划优化

陈海宏1,2, 左丽丽2, 吴长春2, 李清平1   

  1. 1. 中海油研究总院深水工程国家重点实验室 北京 100028;
    2. 中国石油大学(北京)油气管道输送安全国家工程实验室/城市油气输配技术北京市重点实验室 北京 102249
  • 收稿日期:2018-06-04 修回日期:2019-05-29 出版日期:2019-08-25 发布日期:2019-08-28
  • 通讯作者: 陈海宏,男,1991年10月生,2013年获中国石油大学(北京)学士学位,2018年获中国石油大学(北京)博士学位,现为中海油研究总院有限责任公司博士后,主要从事成品油管网调运优化、油气田开发流动安全保障等技术的研究工作。Email:chen1020155185@163.com
  • 作者简介:陈海宏,男,1991年10月生,2013年获中国石油大学(北京)学士学位,2018年获中国石油大学(北京)博士学位,现为中海油研究总院有限责任公司博士后,主要从事成品油管网调运优化、油气田开发流动安全保障等技术的研究工作。Email:chen1020155185@163.com
  • 基金资助:

    国家科技重大专项(2016ZX05028-004)和中海石油(中国)有限公司科研项目(YXKY-2019-ZY-14)资助。

Optimization on delivery schedules of a multiproduct pipeline based on the oil-demand mode

Chen Haihong1,2, Zuo Lili2, Wu Changchun2, Li Qingping1   

  1. 1. National Key Laboratory of Deepwater Engineering, CNOOC Research Institute, Beijing 100028, China;
    2. National Engineering Laboratory for Pipeline Safety/Beijing Key Laboratory of Urban Oil and Gas Distribution Technology, China University of Petroleum, Beijing 102249, China
  • Received:2018-06-04 Revised:2019-05-29 Online:2019-08-25 Published:2019-08-28

摘要:

成品油管道的最大特点是采用"背靠背"的方式同时输送多种油品,其运行与管理的一项重要内容是制定批次计划。利用计算机自动优化批次计划对提高成品油管道管理水平与效率具有重要意义。成品油管道批次计划优化问题建模的难点在于如何描述批次在管道内的运移过程以及满足诸多的工艺运行要求。针对单点注入、多点分输油品需求型成品油管道分输计划优化问题,以管道沿线各管段运行流量整体平稳性最高为目标,采用离散时间的表达方法建立了混合整数线性规划模型。模型可满足批次跟踪、管段运行流量、首站输入、中间站分输、末站分输、站场需求等约束条件。为增加优化结果的实用性,模型中引入了两类约束条件:管道沿线任一中间站应既允许执行部分分输作业,也允许执行全分输作业;为减少管道操作人员的工作量,要求在相邻的两个时段内,若同一中间站对同一批次执行部分分输作业,其分输流量应保持一致。以成品油管道历史输油任务为例,成功利用CPLEX软件获得了模型最优解,验证了模型的有效性。

关键词: 成品油管道, 顺序输送, 批次计划, 最优化, 混合整数线性规划

Abstract:

Multiproduct pipelines can simultaneously convey several products by a "back-to-back" way. Drafting batch schedules is an important part of operating and managing a multiproduct pipeline. Using computers to automatically optimize batch schedules is significant to improve the level and efficiency of managing multiproduct pipelines. The difficultly in modeling for optimizing batch schedules of a multiproduct pipeline is how to describe batch movements in pipelines and satisfy processing constraints. Aiming at optimizing the delivery schedule of a single-source and multi-depot multiproduct pipeline based on the oil-demand mode, this paper has established a mixed-integer linear programming model using the discrete-time representation, so as to achieve the overall highest stability of pumping rates in all pipeline segments. The constraints on batch tracking, pumping rates of pipeline segments, injection operations performed by initial station, delivering operations implemented by intermediate and terminal stations, and product demands are all satisfied in the proposed model. For improving the practicability of optimization results, two types of constraints are introduced. The first type is that any intermediate station can not only carry out side-stream delivery operations, but also perform full-stream delivery operations. The second type is that if an intermediate station downloads product from a batch in two successive time intervals by side-stream delivery operations, the delivery rates should be consistent, in order to lessen the workload of operators. Taking the historical transportation task of a certain multiproduct pipeline as an example, the optimal solution of the model is successfully obtained using software CPLEX, which verifies the practicability of the proposed model.

Key words: multiproduct product, batch transportation, batch schedule, optimization, mixed-integer linear programming

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