系统仿真学报 ›› 2023, Vol. 35 ›› Issue (6): 1144-1156.doi: 10.16182/j.issn1004731x.joss.22-0229

• 综述 • 上一篇    下一篇

数字孪生在火电机组数字化转型中的应用

董泽1,2(), 姜炜1,2, 王晓燕1(), 刘磊3   

  1. 1.华北电力大学 河北省发电过程仿真与优化控制技术创新中心, 河北 保定 071000
    2.华北电力大学 控制与计算机工程学院, 北京 102206
    3.华北电力科学研究院有限责任公司, 北京 100043
  • 收稿日期:2022-03-17 修回日期:2022-04-18 出版日期:2023-06-29 发布日期:2023-06-20
  • 通讯作者: 王晓燕 E-mail:dongze33@126.com;wxyncepu@126.com
  • 作者简介:董泽(1970-),男,教授,博导,博士,研究方向为大型火电机组建模仿真、智能控制、智能化系统研发等。E-mail:dongze33@126.com
  • 基金资助:
    国家自然科学基金(71471060);河北省自然科学基金(E2018502111)

Application of Digital Twin in Digital Transformation of Thermal Power Units

Ze Dong1,2(), Wei Jiang1,2, Xiaoyan Wang1(), Lei Liu3   

  1. 1.Hebei Technology Innovation Center of Simulation & Optimized Control for Power Generation, North China Electric Power University, Baoding 071000, China
    2.School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
    3.North China Electric Power Research Institute Co. , Ltd, Beijing 100043, China
  • Received:2022-03-17 Revised:2022-04-18 Online:2023-06-29 Published:2023-06-20
  • Contact: Xiaoyan Wang E-mail:dongze33@126.com;wxyncepu@126.com

摘要:

随着“碳达峰、碳中和”国家战略的提出和“降本、提质、增效”成为行业共识,火电机组数字化转型迫在眉睫。探索了数字孪生在火电机组数字化转型中的应用,提出了火电机组数字孪生系统的四维模型和5种内部关系,重点介绍了系统调度平台及智能发育、智能感知、智能评估、智能优化、智能安防5类服务的功能、架构、目标,展望了系统的3个发展阶段。预期提高火电机组的测量、控制、调度、管理水平,巩固火电保供和调峰战略地位,实现智能控制、智慧管理、节能降耗、低碳环保的数字化转型目标。

关键词: 数字孪生, 火电机组, 数字化转型, 数字孪生服务, 碳达峰、碳中和

Abstract:

The national strategy of "carbon peaking and carbon neutralization" and the industry consensus of "reducing cost, improving quality and increasing efficiency" require the digital transformation of thermal power units. The application of digital twin in the digital transformation of thermal power units is researched, the four-dimensional model and five internal relationships of thermal power unit digital twin system are proposed, the functions, architecture and objectives of system scheduling platform and five kinds of services, intelligent development, intelligent perception, intelligent evaluation, intelligent optimization and intelligent security are introduced, and the three development stages of the system are prospected. It is expected to improve the measurement, control, scheduling and management of thermal power units, consolidate the strategic position of thermal power supply and peak shaving, and realize the digital transformation goals of intelligent control, intelligent management, energy saving, low carbon and environmental protection.

Key words: digital twin, thermal power unit, digital transformation, digital twin service, carbon peaking and carbon neutralization

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