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大型能源集团煤炭供应链多环节协同调运优化策略研究

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煤炭的"产-供-运-销-用"一体化联营是当前大型能源集团数智化转型的主要方向之一,通过协同煤炭供应链各环节制定的年度生产计划,是指导大型煤炭集团实现煤炭一体化运营的重要手段.基于一体化煤炭供应链多环节调运业务,考虑煤炭生产能力、铁路运输能力、港口周转能力等生产调运能力限制,并综合能源集团社会保供责任、用户煤炭供给的稳定性和均衡性、内部煤化工或联营火电用户效益保证性等相关约束,以集团整体效益最大化为优化目标,构建了混合整数线性规划模型,并基于求解器进行求解.通过在国内某大型能源集团的煤炭供应链多环节协同调运试验结果表明,该优化模型通过对各环节生产计划的综合优化调整,提升集团整体效益5.7%,有效支撑了大型能源集团煤炭产、运、销一体化年度计划的合理化制定.
Research on optimization strategies for multi-link collaborative transportation of coal supply chain in large energy groups
The joint operation of coal production,supply,transportation,sales and utilization is one of the main directions for the digital and intelligent transformation of large energy groups at present.Developing annual production plans through collaboration with various links in the coal supply chain is an important means to guide large coal groups in achieving integrated coal operations.Based on the integrated coal supply chain multi-link transportation business,considering the production and transportation capacity limitations such as coal production capacity,railway transportation capacity,and port turnover capacity,and taking into account the social supply responsibility of the energy group,the stability and balance of user coal supply,and the guarantee of internal coal chemical or joint venture thermal power user benefits,a mixed integer linear programming model was built with the optimization objective of maximizing the overall efficiency of the energy group,and the model was solved based on the solver.The results of a multi-link collaborative operation test in a large domestic energy group's coal supply chain showed that the optimization model improved the overall efficiency of the group by 5.7%by comprehensively optimizing and adjusting the production plans of each link,effectively supporting the rational formulation of the annual plan for the integration of coal production,transportation and sales in large energy enterprises.

large energy groupcoal supply chainintegration operationcollaborative optimizationtransportation operational strategydigital and intelligent transformation

王志光、陈爱明、王靖韬、谭瑶

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北京南瑞数字技术有限公司,北京市海淀区,100192

大型能源集团 煤炭供应链 一体化运营 协同优化 调运策略 数智化转型

2024

中国煤炭
煤炭信息研究院

中国煤炭

CSTPCD北大核心
影响因子:0.736
ISSN:1006-530X
年,卷(期):2024.50(11)