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The Study of the Scheduling Approaches in Hydrogen-network System of Refinery

Author: LiuYan
Tutor: LuoXiaoChuan
School: Northeastern University
Course: Systems Engineering
Keywords: Hydrogen network Production scheduling Multi-objective optimization NSGA-Ⅱ algorithm DEA Model C ~ 2R
CLC: TE624
Type: Master's thesis
Year: 2008
Downloads: 36
Quote: 2
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Abstract


Production scheduling is a key link of Process Industry Automation system , is connected to the link between production management and production process control . The hydrogen network system is a typical refinery production process , large-scale , complex process , the establishment of the mathematical model is the focus of the study is dispatched . Mathematical programming method based on the actual situation of the oil refining industry , the establishment of a bi-objective planning model . First given a model of the hydrogen network system plan , establish the dual objective optimization model for bi-objective optimization problem is difficult to directly solve practical problems , the first dual - objective optimization model through a proposition into two separate single objective optimization model , and then solved using CPLEX optimization tool , draw a plan the optimal solution . According to the plan model given a the hydrogen network system scheduling model and scheduling model requires scheduling the division of the time scale , and you do not need planning model , so scheduling model more complex than the planned model . Plans for dual - target model can be transformed into single objective problem solving, establish a dual - objective scheduling model , however , can not be transformed into a single objective problem solving view of this , with elitist strategy of non- dominated sorting genetic algorithm (NSGA- Ⅱ) to solve the obtained scheduling model of non-dominated solution set . NSGA-Ⅱ algorithm solution is Pareto optimal solution , rather than the true optimal solution . Also studied the case of the system to consider the hydrogen system, and does not consider the hydrogen system , the total profit for the entire production system . In both cases , come to consider the the hydrogen total profit than the profit of hydrogen when the system should not consider large . Finally, given the evaluation criteria of Pareto optimal solution , which is based on the DEA model non - Archimedean infinitesimal C2R model . Non- Archimedean infinitesimal the C2R model to identify the the algorithm proceeds solution to establish relatively good Pareto optimal solution .

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CLC: > Industrial Technology > Oil and gas industry > Oil, natural gas processing industry > Petroleum refining > The refining process
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