数据与计算发展前沿 ›› 2026, Vol. 8 ›› Issue (5): 227-239.

CSTR: 32002.14.jfdc.CN10-1649/TP.2026.05.018

doi: 10.11871/jfdc.issn.2096-742X.2026.05.018

• 技术与应用 • 上一篇    

基于AnyLogic的能源行业一体化生产运营仿真研究

高满达1(),高思远1,闫紫徽1,肖宝玲1,刘宇轩2,*()   

  1. 1 国家能源集团新能源技术研究院有限公司， 北京 102209
    2 中国科学院自动化研究所， 北京 100190
  • 收稿日期:2025-10-28 出版日期:2026-10-20 发布日期:2026-10-20
  • 通讯作者: *刘宇轩（E-mail: liuyuxuan2023@ia.ac.cn）
  • 作者简介:高满达，国家能源集团新能源技术研究院有限公司，基石运营技术研究中心工程师，高级工程师，研究方向为能源供应链仿真及AI技术应用。
    本文主要承担工作为方法的提出。
    GAO Manda is a senior engineer at the Cornerstone Operation Technology Research Center, CHN Energy New Energy Technology Research Institute Co., Ltd. His research interests include energy supply chain simulation and AI technology application.
    In this paper, he is mainly responsible for method proposal. E-mail: 20039664@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理论指导。
    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 theory 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)

Simulation Research on Integrated Production and Operation in Energy Industry Based on AnyLogic

GAO Manda1(),GAO Siyuan1,YAN Zihui1,XIAO Baoling1,LIU Yuxuan2,*()   

  1. 1 CHN Energy New Energy Technology Research Institute Co., Ltd, Beijing 102209, China
    2 Institute of Automation, Chinese Academy of Science, Beijing 100190, China
  • Received:2025-10-28 Online:2026-10-20 Published:2026-10-20

RichHTML

1

PDF

5

摘要：

【目的】研究能源产业链跨板块的高复杂度协同问题，旨在提出一种基于AnyLogic的混合仿真方法以支撑产业链的相关生产运营。【文献范围】对复杂系统仿真现有相关研究进行调研分析。【应用背景】当前基于人工经验的产业链计划制定与数据分析，难以满足一体化运营对协同效率与风险抵抗能力的要求，产业链仿真研究具有研究意义。【方法】提出了基于系统动力学、离散事件、多智能体的混合仿真方法，业务实体内部逻辑使用系统动力学，仿真顺序遵从时间逻辑或事件驱动，各板块业务实体共同构成多智能体系统。【结果】基于AnyLogic的仿真实验能够模拟生产运营真实数据，验证多智能体系统建模的有效性、计划方案的可行性以及产业链的效能性。【局限】产业链潜在风险仍有待进一步考虑。【结论】所提出的基于AnyLogic的混合仿真方法，能够有效提高一体化生产运营的数字化水平。

关键词: 产业链, 仿真方法, 多智能体建模

Abstract:

[Objective] This study focuses on the high-complexity collaboration issues across segments of the energy industry chain, aiming to propose an AnyLogic-based hybrid simulation method to support the production and operation of the industry chain. [Literature Review] Existing relevant studies related to complex system simulation are summarized and analyzed. [Application Background] Currently, the formulation of industry chain plans and data analysis based on manual experience can hardly meet the requirements of integrated operation for collaboration efficiency and risk resistance. Therefore, research on industry chain simulation holds significant value. [Methods] A hybrid simulation method based on system dynamics, discrete events and multi-agent systems is proposed. Specifically, the internal logic of business entities is constructed using system dynamics. The simulation sequence follows temporal logic or event-driven rules. The business entities across various segments collectively form a multi-agent system. [Results] The simulation experiments based on the proposed method can simulate the real data of production and operation, verifying the effectiveness of multi-agent system modeling, the feasibility of planning schemes, and the efficiency of the industry chain. [Limitations] The potential risks of the industry chain still need to be further considered. [Conclusions] The proposed AnyLogic-based hybrid simulation method can effectively improve the digitalization level of integrated production and operation.

Key words: industry chain, simulation method, multi-agent modeling