Stability Enhancement of Inverter-Current Feedback Grid-Following Inverters Using a Passivity-Based Voltage Controller
Grid-following inverters remain the primary interface for modern renewable energy systems due to their strong power output performance. As the global demand for clean and efficient energy conversion increases, optimizing the stability of inverter systems is crucial for integrating renewable sources into the power grid. In certain energy conversion scenarios, current sensors are placed on the inverter side due to equipment constraints and space limitations, which can impact the stability of the inverter. Although the stability of inverter-side current feedback (ICF) configurations has been studied, methods to further enhance their stability remain underexplored. In this paper, the stability of ICF grid-following inverters is analyzed using a passivity-based design approach, focusing on a point of common coupling voltage controller. The proposed controller is thoroughly analyzed, and a detailed design strategy is presented to ensure stability under varying grid impedance conditions. Experimental results validate the theoretical analysis, demonstrating the effectiveness of the proposed design in enhancing the stability of ICF grid-following inverters. These advancements contribute to improving energy conversion efficiency and reliability.
Authors
- Zhong Ren (ORCID: https://orcid.org/0000-0002-6305-6197)
- Jinbang Xu (ORCID: https://orcid.org/0000-0001-7241-1245)
- Yihua Hu (ORCID: https://orcid.org/0000-0002-1007-1617)
- Songtao Huang (ORCID: https://orcid.org/0000-0002-6325-9306)
- Yukai Huang (ORCID: https://orcid.org/0000-0002-1071-0140)
- Anwen Shen (ORCID: https://orcid.org/0000-0003-2180-0181)
- Jie Ye (ORCID: https://orcid.org/0000-0002-7172-7990)
Institutions
- King's College School (GB)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- IEEE Transactions on Energy Conversion
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/tec.2025.3555841
- Citations
- 3
- Primary Topic
- Microgrid Control and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 3.64