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ORIGINAL RESEARCH article

Front. Energy Res.
Sec. Sustainable Energy Systems
Volume 12 - 2024 | doi: 10.3389/fenrg.2024.1496025
This article is part of the Research Topic Advanced Modeling and Methods for Renewable-dominated Power Systems Operations under Multiple Uncertainties View all 7 articles

Analysis of the Impact of Measurement on the Impedance Stability of HVDC Grids

Provisionally accepted
Dawei Zhao Dawei Zhao 1Zaiyu Chen Zaiyu Chen 2*Jing Bu Jing Bu 1Qun Li Qun Li 3Qiang Li Qiang Li 3Xiaohu Rong Xiaohu Rong 1
  • 1 School of Automation, Nanjing University of Science and Technology, Nanjing, Liaoning Province, China
  • 2 Nanjing University of Science and Technology, Nanjing, China
  • 3 State Grid Jiangsu Electric Power Co., LTD, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    The rapid advancement of power electronics technology has led to the development of more flexible DC transmission systems, revealing the issue of oscillations. In this paper, a novel impedance modeling approach for the DC side of Modular Multilevel Converters (MMCs) has been introduced to overcome the limitations of previous methods, which did not take into account the complete control structure and internal harmonic characteristics. An accurate impedance model has been established, integrating the types of disturbance signal sources used in impedance measurement and the impact of measurement device characteristics on model accuracy. This approach enhances the precision of impedance stability analysis, which is crucial for system stability. The model's effectiveness has been validated through simulations, demonstrating the influence of disturbance signal types and measurement device characteristics on the impedance stability of the MMC's DC side.

    Keywords: Impedance measurement, Disturbance signal, stability analysis, Measurement device, Impedance characteristics, impedance modeling, Stability criterion, System oscillation

    Received: 13 Sep 2024; Accepted: 04 Nov 2024.

    Copyright: © 2024 Zhao, Chen, Bu, Li, Li and Rong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zaiyu Chen, Nanjing University of Science and Technology, Nanjing, China

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