Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

+Advanced Search
Home > Archive>Volume 10, Issue 3, 2022 >788-799. DOI:10.35833/MPCE.2020.000836
PDF HTML Export
A System Identification-based Modeling Framework of Bidirectional DC-DC Converters for Power Grids
Author:
Affiliation:

1.Department of Electrical Engineering, National Autonomous University of Mexico (UNAM), Mexico City, Mexico;2.Department of Electrical Engineering, Center for Research and Advanced Studies (CINVESTAV), Guadalajara, Mexico;3.Electrical Engineering Faculty, Michoacan University of Saint Nicholas of Hidalgo (UMSNH), Morelia, Mexico;4.Engineering Faculty, Corporacion Universitaria Minuto de Dios-UNIMINUTO, Bello, Colombia

Fund Project:

This work was supported by the Project Support Program for Research and Technological Innovation of UNAM (DGAPA, PAPIIT-2021) (No. TA101421) and the strategic project PE-A-04 of CEMIE-Redes.

  • Article
    • | |
  • Metrics
    • |
  • Reference
    • |
  • Related
    • |
  • Cited by
    • |
    Abstract:

    This paper proposes a system identification framework based on eigensystem realization to accurately model power electronic converters. The proposed framework affords an energy-based optimal reduction method to precisely identify the dynamics of power electronic converters from simulated or actual raw data measured at the converter’s ports. This method does not require any prior knowledge of the topology or internal parameters of the converter to derive the system modal information. The accuracy and feasibility of the proposed method are exhaustively evaluated via simulations and practical tests on a software-simulated and hardware-implemented dual active bridge (DAB) converter under steady-state and transient conditions. After various comparisons with the Fourier series-based generalized average model, switching model, and experimental measurements, the proposed method attains a root mean square error (RMSE) of less than 1% with respect to the actual raw data. Moreover, the computational effort is reduced to 1/8.6 of the Fourier series-based model.

    Reference
    Related
    Cited by
Get Citation

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:December 01,2020
  • Revised:February 10,2021
  • Online: May 12,2022

Address:No.19 Chengxin Avenue, Jiangning District, Nanjing 211106, China

E-mail: mpce@alljournals.cn

Tel:86-25-81093060

Fax:86-25-81093040

Copyright：Journal of Modern Power Systems and Clean Energy ® 2025 All Rights Reserved
Supported by：Beijing E-Tiller Technology Development Co., Ltd.

ICP：ICP备09008660号