数据与计算发展前沿 ›› 2026, Vol. 8 ›› Issue (3): 155-165.

doi: 10.11871/jfdc.issn.2096-742X.2026.03.013

• 技术与应用 • 上一篇    下一篇

能源一体化产业链生产运营仿真系统业务评估研究

刘伟1(),高满达2,高思远2,牛欣欣2,李亚巍2,刘宇轩3,*()   

  1. 1 中国神华能源股份有限公司， 北京 100011
    2 国家能源集团新能源技术研究院有限公司， 北京 102209
    3 中国科学院自动化研究所， 北京 100190
  • 收稿日期:2025-10-21 出版日期:2026-06-20 发布日期:2026-06-18
  • 通讯作者: 刘宇轩
  • 作者简介:刘伟，中国神华能源股份有限公司，高级工程师，研究方向为电力环保和大数据分析。
    本文主要承担工作为方法的提出和实现。
    LIU Wei is a senior engineer of China Shenhua Energy Co., Ltd. His research interests include electric power environmental protection and big data analysis.
    In this paper, he is mainly responsible for proposing and implementing the method.
    E-mail: 20029476@ceic.com|刘宇轩，中国科学院自动化研究所，硕士研究生，主要研究方向为博弈与决策智能。
    本文主要承担工作为整体协调推进与写作指导。
    LIU Yuxuan is currently a graduate student at the Institute of Automation, Chinese Academy of Sciences. Her research interests include game theory and decision intelligence.
    In this paper, she is mainly responsible for overall coordination and paper writing instruction.
    E-mail: liuyuxuan2023@ia.ac.cn
  • 基金资助:
    国家能源集团科技创新项目资助(GJNY-23-176)

Research on the Evaluation of Production and Operation Simulation System Business in the Integrated Energy Industry Chain

LIU Wei1(),GAO Manda2,GAO Siyuan2,NIU Xinxin2,LI Yawei2,LIU Yuxuan3,*()   

  1. 1 China Shenhua Energy Co., Ltd, Beijing 100011, China
    2 CHN Energy New Energy Technology Research Institute Co., Ltd, Beijing 102209, China
    3 Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2025-10-21 Online:2026-06-20 Published:2026-06-18
  • Contact: LIU Yuxuan

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摘要：

【目的】在全球能源格局深刻变革的背景下，国家能源集团面临保障能源供应安全、推进能源转型与实现可持续发展的多重挑战。本文旨在通过研究一体化产业链智能仿真系统的业务评估与优化策略，借助仿真平台为集团战略目标达成提供支持。 【方法】通过构建涵盖六大维度的评估指标体系，并结合灰色关联法建立多维评价模型，实现了对业务环节的精准评估。 【结果】实验表明，该模型可有效应用于国家能源集团生产、运输、销售、库存等关键环节，精准识别优势与不足，为优化决策提供支持，但在处理跨产业平衡优化的复杂场景时仍有提升空间。 【结论】未来研究可通过拓展数据集规模与质量，深化模型算法，强化跨产业协同考量，推动智能仿真系统持续优化升级，助力国家能源集团应对能源市场变革挑战，提升市场地位与竞争力。

关键词: 智能仿真系统, 业务评估, 灰色关联法, 优化策略

Abstract:

[Objective] Against the backdrop of profound transformations in the global energy landscape, China Energy Investment Corporation faces multiple challenges, including ensuring energy supply security, advancing the energy transition, and achieving sustainable development. This paper aims to support the attainment of the Group’s strategic goals by studying the business evaluation and optimization strategies of an integrated industrial chain intelligent simulation system, leveraging a simulation platform. [Methods] A multi-dimensional evaluation model is established by constructing an assessment indicator system covering six dimensions and incorporating the grey relational method, enabling precise evaluation of business links. [Results] Experiments show that the model can be effectively applied to key links such as production, transportation, sales, and inventory of China Energy Investment Corporation, accurately identifying strengths and weaknesses and providing support for optimization decisions. However, there remains room for improvement in handling complex scenarios involving cross-industrial balance optimization. [Conclusions] Future research can expand the scale and quality of datasets, refine model algorithms, strengthen cross-industrial synergy considerations, and promote the continuous optimization and upgrading of the intelligent simulation system, thereby helping China Energy Investment Corporation address challenges posed by changes in the energy market and enhance its market position and competitiveness.

Key words: intelligent simulation system, business evaluation, grey relational method, optimization strategies