Authors

Ming Li, Yongtao Mao, Hua Geng, Enjun Liu, Xing Wang, Xing Zhang, Pinjia Zhang

Abstract

With the rapid integration of renewable energy sources, particularly wind and solar power, grid‐connected converters have become essential interfaces between renewable energy systems and the power grid. Among the various control strategies, grid‐following (GFL) and grid‐forming (GFM) controls are commonly used, with GFM converter playing a crucial role in enhancing grid stability. However, traditional GFM converter often rely on linear control methods, which struggle with nonlinear grid dynamics and transient faults. To address these challenges, passivity‐based control (PBC) has emerged as a promising solution for improving system stability. This paper proposes a novel passivity‐based control strategy for GFM converter, incorporating the impact of the control delays. Using the port‐controlled Hamiltonian (PCH) model, we design a feedback controller based on interconnection and damping assignment passivity‐based control (IDA‐PBC), ensuring system stability. Additionally, a frequency‐domain D‐partition method is introduced to derive the stability region and boundary of the controller under time delays, providing clear tuning criteria. The proposed strategy offers an improved approach for large‐scale renewable energy integration, enhancing converter stability and performance. The results contribute to advancing passivity‐based control theory and its practical application in renewable energy systems.

Citation

  • Journal: IET Renewable Power Generation
  • Year: 2025
  • Volume: 19
  • Issue: 1
  • Pages:
  • Publisher: Institution of Engineering and Technology (IET)
  • DOI: 10.1049/rpg2.70148

BibTeX

@article{Li_2025,
  title={{Optimized Passivity‐Based Control for Grid‐Forming Converter with Control Delays}},
  volume={19},
  ISSN={1752-1424},
  DOI={10.1049/rpg2.70148},
  number={1},
  journal={IET Renewable Power Generation},
  publisher={Institution of Engineering and Technology (IET)},
  author={Li, Ming and Mao, Yongtao and Geng, Hua and Liu, Enjun and Wang, Xing and Zhang, Xing and Zhang, Pinjia},
  year={2025}
}

Download the bib file

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