发电技术 ›› 2020, Vol. 41 ›› Issue (5): 462-470.DOI: 10.12096/j.2096-4528.pgt.20075

• 厂界环保岛与数字孪生技术 • 上一篇    下一篇

面向智能发电的数字孪生技术及其应用模式

房方(),张效宁(),梁栋炀(),王庆华()   

  • 收稿日期:2020-08-27 出版日期:2020-10-30 发布日期:2020-11-02
  • 作者简介:房方(1976),男,博士,教授,研究方向为发电过程建模、控制与优化,综合能源系统优化配置和能量管控,智能发电理论与技术等, ffang@ncepu.edu.cn|张效宁(1993),男,博士研究生,研究方向为新能源功率预测, zhxn@ncepu.edu.cn|梁栋炀(1998),男,硕士研究生,研究方向为电力系统的故障诊断, 1603109784@qq.com|王庆华(1987),男,博士研究生,研究方向为复杂系统建模与控制、综合能源系统控制与优化等, wangqhcr@ncepu.edu
  • 基金资助:
    国家自然科学基金项目(51676068)

Digital Twin Technology for Smart Power Generation and Its Application Modes

Fang FANG(),Xiaoning ZHANG(),Dongyang LIANG(),Qinghua WANG()   

  • Received:2020-08-27 Published:2020-10-30 Online:2020-11-02
  • Supported by:
    National Natural Science Foundation of China(51676068)

摘要:

发电过程作为电力系统的重要组成部分,其智能化建设是推进我国能源电力转型发展的重要方向。结合数字孪生技术的研究发展现状及发展趋势,剖析了智能发电的概念与体系,并给出面向智能发电的数字孪生定义,通过功能映射,构建了智能发电系统的数字孪生架构。提出了在智能发电系统中部署数字孪生技术的一般性方法,对数字孪生技术的应用领域和应用模式进行了归纳,分析了应用过程中面临的主要技术挑战。研究结果可为数字孪生技术在发电领域产业化发展提供理论和方法参考。

关键词: 智能发电, 数字孪生, 应用架构, 数据驱动

Abstract:

As an important part of power system, the intelligent construction of power generation process is an important direction to promote the development of energy transformation in China. Combined with current situation and development trend of digital twin technology research, the concept and system of smart power generation were analyzed. Then the definition of digital twin in the field of smart power generation was proposed. Through function mapping, the digital twin architecture of smart power generation was constructed. A general method of deploying digital twin technology in smart power generation system was proposed. The application fields and modes of digital twin technology were summarized, and the main technology challenges in application were analyzed. The research results provide theoretical and methodological reference for the industrial development of digital twin technology in the field of power generation.

Key words: smart power generation, digital twin, application architecture, data driven

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