摘要
采用约束规划方法建立原油混输模型,利用深度优先搜索策略对模型进行求解获得可行的调度方案。根据混输调度的实际情况,确立一种连续时间方法解决时间因素的表征问题,采用分段法解决管存油量大的问题。对时间跨度为300 h的原油混输问题进行分析的结果表明,对于规模较大的模型(7 649个变量和13 918条约束),能在较短的时间内(小于30 s)获得可行的调度方案;该方案有利于保证蒸馏装置的平稳运行,且满足了特殊油种的存储和加工要求。
Crude feeding model was set up by the use of constraint programming method. Feasible scheduling scheme was obtained by solving the model with depth-first search strategy. Two main factors, time representation and crude storage in pipeline, were considered during the model adjustment. A continuous-time method was established to divide the scheduling horizon into several slots with various lengths. Crude storage in pipeline was treated as two segments at most. A 300 h crude feeding case was investigated and the results showed that feasible scheme was achieved in a short time (30 s)despite the large scale of the model(about 7 649 variables and 13 918 constraints). The obtained scheme was in favor of ensuring stable operation of crude distillation units, and well met the requirements of storing and processing special crude.
出处
《石油炼制与化工》
CAS
CSCD
北大核心
2008年第1期49-52,共4页
Petroleum Processing and Petrochemicals
关键词
石油输送
调度
模型
约束规划
连续时间
分段法
crude transportation
scheduling
model
constraint programming
continuous time
segment treat