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
- 折叠
摘要
常见的原油产业链生产调度优化模型主要针对产业链中的局部环节,并且模型通常只涉及以综合成本最小为目标的单一目标线性规划.本文对原油全产业链的各个生产环节进行了精确描述,建立了能全面反映系统多目标生产调度的优化模型,并采用了ε-constraint方法对该模型进行求解.另外,在传统调度模型中,由于未能准确描述各周期内加工量和运输量的波动性,导致加工波动和运输波动量过大.为了解决这一问题,该模型引入了辅助变量和约束,对波动性因素进行惩罚,从而减少各周期内加工量和运输量的波动性,使得模型求解结果更接近实际调度情况.结果表明,考虑波动性约束的原油产业链生产调度优化模型能够在满足实际调度需求的同时,使综合成本达到一个较为理想的数值.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据