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考虑波动性约束的原油全产业链生产调度优化模型

刘华林 乔跃 魏志伟 包亚岭 王丽洋 李硕森 何畅

化工进展2024,Vol.43Issue(12):6700-6710,11.
化工进展2024,Vol.43Issue(12):6700-6710,11.DOI:10.16085/j.issn.1000-6613.2023-1963

考虑波动性约束的原油全产业链生产调度优化模型

Production scheduling optimization model of crude oil industry chain considering volatility constraints

刘华林 1乔跃 2魏志伟 1包亚岭 1王丽洋 3李硕森 3何畅4

作者信息

  • 1. 中国石油天然气股份有限公司规划总院,北京 100086||中国石油油气业务链优化重点实验室,北京 102206
  • 2. 中国石油天然气股份有限公司生产经营管理部,北京 100007
  • 3. 杉数科技(北京)有限公司,北京 100102
  • 4. 中山大学化学工程与技术学院,广东 珠海 519082||中山大学广东省石化过程节能工程技术研究中心,广东 广州 510006
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摘要

Abstract

Production scheduling optimization models for crude oil industry in the supply chain typically focus on specific segments and aim to minimize overall costs through single-objective linear programming.This study presented a comprehensive and systematic multi-objective optimization model for production scheduling,accurately characterizing various stages in the entire crude oil supply chain.The ε-constraint method was employed to solve the model.To address the issue of inaccurate capturing of processing and transportation fluctuations in traditional scheduling models,this study introduced auxiliary variables and constraints to penalize volatility factors.This approach effectively reduced fluctuations in processing and transportation volumes within each period,bringing the model solutions closer to actual scheduling scenarios.The results demonstrated that the proposed optimization model,incorporating volatility constraints,achieved a more desirable overall cost value while meeting practical scheduling requirements.

关键词

智能调度/线性规划/加工波动/运输波动/ε约束/多目标优化

Key words

intelligent scheduling/linear programming/processing fluctuation/transportation fluctuation/ε-constraint/multi-objective optimization

分类

化学化工

引用本文复制引用

刘华林,乔跃,魏志伟,包亚岭,王丽洋,李硕森,何畅..考虑波动性约束的原油全产业链生产调度优化模型[J].化工进展,2024,43(12):6700-6710,11.

基金项目

中国石油天然气股份有限公司科学研究与技术开发项目(2021DJ7704). (2021DJ7704)

化工进展

OA北大核心CSTPCD

1000-6613

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