ORIGINAL RESEARCH article
Front. Energy Res.
Sec. Energy Efficiency
Volume 13 - 2025 | doi: 10.3389/fenrg.2025.1644865
This article is part of the Research TopicApplication of Edge Artificial Intelligence in Energy SystemsView all 3 articles
Improving Synchronous Stability of Grid-Following Converters Using Flux Linkage Feedback Combined with DFF Neural Network
Provisionally accepted
- 1Department of Power Engineering, School of Electric Power, South China University of Technology, Guangzhou, China
- 2China Southern Power Grid Co Ltd, Guangzhou, China
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This paper proposes a hybrid scheme of flux linkage feedback (FLF) combined with deep feed forward (DFF)-genetic algorithm (GA) method to improve the synchronous stability of gridfollowing converters. By subtracting three-phase flux linkages from the three-phase voltage references generated by the grid-following controller, the FLF and the parameters optimization based on DFF-GA are expected to improve the equivalent virtual damping in the dynamics of the angular speed of the phase-locked loop (PLL). The implement of the proposed method will reduce the risk of synchronous instability of the converter with respect stability region. The virtual flux linkages can be calculated by the integration of the instantaneous voltage, thus no additional measurement is required. The effectiveness of FLF has been verified by region of attraction, simulation and experiment studies, which show that the system with FLF scheme presents longer critical clearing time (CCT) than the traditional method and PLL damping enhancement strategy. Moreover, the proposed scheme does not change the internal structure of the existing controller, and is easy to implement on various grid-following converters.
Keywords: grid-following converter, flux linkage feedback, Synchronous stability, deep learning, Neural Network
Received: 11 Jun 2025; Accepted: 15 Jul 2025.
Copyright: © 2025 Liu, Li and Ma. 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: Yiming Ma, China Southern Power Grid Co Ltd, Guangzhou, China
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