Digital Twin Techniques for Power Electronics-Based Energy Conversion Systems: A Survey of Concepts, Application Scenarios, Future Challenges, and Trends

被引:21
作者
Chen, Haoyu [1 ]
Zhang, Zhenbin [2 ]
Karamanakos, Petros [3 ]
Rodriguez, Jose [4 ]
机构
[1] Shandong Univ, Sch Elect Engn, Lab More Power Elect Energy Syst, Jinan 250000, Peoples R China
[2] Shandong Univ, Jinan 250000, Peoples R China
[3] Tampere Univ, Fac Informat Technol & Commun Sci, Tampere 33101, Finland
[4] Univ San Sebastian, Concepcion 8420524, Chile
基金
中国国家自然科学基金;
关键词
Data models; Solid modeling; Real-time systems; Maintenance engineering; Analytical models; Software; Sensors; BIG DATA; MODEL;
D O I
10.1109/MIE.2022.3216719
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The steady increase in energy demands has led to ever-increasing "energy generation" This, coupled with the need for higher efficiency, flexibility, and reliability, has boosted the use of power electronics in power and energy systems. Therefore, power electronics-based energy conversion systems (PEECSs) have become prominent in power generation, power transmission, and end user applications. Given the relevance of such systems, and by considering their trend of digitalization, it is crucial to establish digital and intelligent PEECSs. To this end, digital twins (DTs) can be adopted, as they integrate many cuttingedge information techniques to realize the life cycle management of complex systems by constructing real-time mappings of them. In this article, existing DT techniques for PEECSs are reviewed. The concept, system layers, and key technologies of DTs are described first. Some application cases of DTs are then elaborated. Finally, future trends and challenges of DTs are discussed to provide a valuable reference for subsequent research.
引用
收藏
页码:20 / 36
页数:17
相关论文
共 75 条
  • [1] C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems
    Alam, Kazi Masudul
    El Saddik, Abdulmotaleb
    [J]. IEEE ACCESS, 2017, 5 : 2050 - 2062
  • [2] [Anonymous], 2017, 16622016 IEEE
  • [3] Modular Design and Real-Time Simulators Toward Power System Digital Twins Implementation
    Arrano-Vargas, Felipe
    Konstantinou, Georgios
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (01) : 52 - 61
  • [4] Twinbase: Open-Source Server Software for the Digital Twin Web
    Autiosalo, Juuso
    Siegel, Joshua
    Tammi, Kari
    [J]. IEEE ACCESS, 2021, 9 : 140779 - 140798
  • [5] A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications
    Barricelli, Barbara Rita
    Casiraghi, Elena
    Fogli, Daniela
    [J]. IEEE ACCESS, 2019, 7 : 167653 - 167671
  • [6] Microgrid Digital Twins: Concepts, Applications, and Future Trends
    Bazmohammadi, Najmeh
    Madary, Ahmad
    Vasquez, Juan C.
    Mohammadi, Hamid Baz
    Khan, Baseem
    Wu, Ying
    Guerrero, Josep M.
    [J]. IEEE ACCESS, 2022, 10 : 2284 - 2302
  • [7] Towards the future of smart electric vehicles: Digital twin technology
    Bhatti, Ghanishtha
    Mohan, Harshit
    Singh, R. Raja
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 141
  • [8] Deep digital twins for detection, diagnostics and prognostics
    Booyse, Wihan
    Wilke, Daniel N.
    Heyns, Stephan
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 140
  • [9] Digital Twin for Degradation Parameters Identification of DC-DC Converters Based on Bayesian Optimization
    Chen, Shaowei
    Wang, Shengyue
    Wen, Pengfei
    Zhao, Shuai
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON PROGNOSTICS AND HEALTH MANAGEMENT (ICPHM), 2021,
  • [10] Cui Y., PROC 2020 IEEE 4 C E, P1233, DOI [10.1109/EI250167.2020.9346850, DOI 10.1109/EI250167.2020.9346850]