工业工程2024，Vol.27Issue(6)：38-50,13.DOI:10.3969/j.issn.1007-7375.230162
基于改进NSGA-Ⅲ的原油短期调度能耗优化
Energy Consumption Optimization for Short-Term Scheduling of Crude Oil Operations Based on an Improved NSGA-Ⅲ
摘要
Abstract
In order to further improve the solution quality and optimization effectiveness of the short-term crude oil scheduling problem,a two-stage optimization strategy for addressing such problems is proposed.First,Through the analysis of the assignment process from charging tanks to distillers,a crossover operator that can preserve segmentally parent genes and a mutation operator that adaptively changes mutation probabilities are given.Additionally,the NSGA-III-ACMO algorithm is introduced to solve the short-term crude oil scheduling problem,which ensures good convergence and population diversity while optimizing five objectives:crude oil mixing cost in pipeline and in charging tanks,tank-switching cost in distillers,tank usage cost,and energy consumption cost.To address the issue of incomplete optimization of energy consumption cost,a new mixed integer linear programming model is proposed for further optimization.The advantage of this model is that,for a given detailed schedule,it can minimize the energy consumption without affecting other objectives.A case study demonstrates that comparing the schedule obtained by the NSGA-III-ACMO algorithm with the results of existing literature,the optimization of individual objectives is improved by 9%to 45%.On this basis,the proposed model can further reduce energy consumption cost by 6.8%.Overall,the NSGA-III-ACMO shows the obvious superiority in both solution quality and optimization effectiveness.关键词
原油短期调度/自适应算子/能耗优化/混合整数线性规划Key words
short-term crude oil scheduling/adaptive operator/energy consumption optimization/mixed integer linear programming分类
管理科学引用本文复制引用
侯艳,牛聪,滕少华,朱清华..基于改进NSGA-Ⅲ的原油短期调度能耗优化[J].工业工程,2024,27(6):38-50,13.基金项目
国家自然科学基金资助项目(61972102) （61972102）
广东省重点领域研发计划项目(2020B010166006) （2020B010166006）
