自动化学报2026,Vol.52Issue(6):1157-1172,16.DOI:10.16383/j.aas.c250631
基于原油类型聚类泊位分配的港炼一体化调度模型
Integrated Terminal-refinery Scheduling Model Based on Crude Oil Type Clustering Berth Allocation
摘要
Abstract
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.关键词
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Key words
continuous berth allocation/integrated scheduling/enterprise-wide optimization/event-based formula-tion/mixed-integer nonlinear programming引用本文复制引用
王天媛,章立峰,袁志宏,杨涛..基于原油类型聚类泊位分配的港炼一体化调度模型[J].自动化学报,2026,52(6):1157-1172,16.基金项目
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) (2025ZD1607701)