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基于原油类型聚类泊位分配的港炼一体化调度模型OA

Integrated Terminal-refinery Scheduling Model Based on Crude Oil Type Clustering Berth Allocation

中文摘要英文摘要

针对炼油全流程调度中传统序贯优化方法因忽略港口作业与生产各环节耦合关系而导致的储罐频繁切换、库存成本增加及装置原料供应不连续等问题,采用按原油类型集中卸载的泊位分配策略,基于事件的混合时间建模方法,将泊位分配、原油卸载、储罐调度、蒸馏加工、二次加工和产品调配各环节集成,构建港炼一体化调度模型.模型综合刻画港口卸载与罐区库存的衔接约束、储罐切换与装置进料的时序关系及原油搭配与产品质量的耦合机制,并采用归一化多参数分解技术对模型进行求解.基于某炼化企业实际数据的案例研究结果表明,所提模型能够有效优化泊位分配与原油卸载顺序,显著改善罐区库存管理、常减压蒸馏装置进料连续性、二次加工装置运行及成品油调配等后续生产环节的运行状态.与传统序贯优化方法相比,该模型有效降低了总运行成本,提高了调度效率.

To address the problems of frequent tank switching,increased inventory costs,and discontinuous feed-stock supply to units caused by the neglect of the coupling relations among port operations and various production stages in traditional sequential optimization approaches for refinery-wide scheduling,a berth allocation strategy based on concentrated unloading by crude oil type and an event-based hybrid-time modeling approach are adopted to develop an integrated terminal-refinery scheduling model encompassing berth allocation,crude oil unloading,tank scheduling,distillation processing,secondary processing,and product blending.The model comprehensively characterizes the linking constraints between port unloading and tank inventory,the sequential relationships between tank switching and unit feeding,and the coupling mechanisms between crude oil blending and product quality,and a normalized multi-parametric disaggregation technique is employed for model solution.Case study res-ults based on actual data from a refinery enterprise demonstrate that the proposed model effectively optimizes berth allocation and crude oil unloading sequences,and significantly improves the operational state of downstream pro-duction stages,including tank inventory management,crude distillation unit feed continuity,secondary processing unit operations,and finished product blending.Compared with traditional sequential optimization approaches,the model effectively reduces total operating costs and improves scheduling efficiency.

王天媛;章立峰;袁志宏;杨涛

东北大学流程工业综合自动化国家重点实验室 沈阳 110819中国帝国理工学院化工系萨金特过程系统工程中心 伦敦SW7 2AZ 英国清华大学化学工程系化工与低碳技术国家重点实验室 北京 100084 中国东北大学流程工业综合自动化国家重点实验室 沈阳 110819中国

连续泊位分配一体化调度全流程优化事件驱动建模混合整数非线性规划

continuous berth allocationintegrated schedulingenterprise-wide optimizationevent-based formula-tionmixed-integer nonlinear programming

《自动化学报》 2026 (6)

1157-1172,16

国家科技重大专项(2025ZD1607701),国家重点研发计划(2022YFB3305904)资助 Supported by National Science and Technology Major Project(2025ZD1607701)and National Key Research and Development Program of China(2022YFB3305904)

10.16383/j.aas.c250631

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