Dynamic interaction analysis of power systems connected with grid-forming converters

作者：Fang Chen, Xinchi Wei, Wenjia Zhao, Jun Yan, Weiyu Wang, Zhilin Yang · 发表于：International Journal of Electrical Power & Energy Systems · 年份：2025 · DOI：10.1016/j.ijepes.2025.110908 · 被引用次数：7 · 研究领域：Microgrid Control and Optimization、Power System Optimization and Stability、HVDC Systems and Fault Protection

Renewable energy sources (RESs) have been widely integrated into power systems to reduce carbon emissions. However, the increased penetration of RESs has led to a significant reduction in system inertia. Grid-forming converters (GFMs) have emerged as a promising technology to enhance grid inertia and improve system stability. Due to their dynamic similarity with synchronous generators (SGs), GFMs can interact with AC grids among multiple control-loops. In this paper, a detailed state-space model of power system is developed to analyze the complex interactions between GFMs and AC grids. A relative interaction array (RIA) is proposed to quantify the interaction between GFMs and AC grids. The results reveal that strong interactions occur in the low-frequency range. Both variations in the GFM’s active power reference and load disturbances in the AC grid can trigger these interactions and result in system oscillations. Key parameters affecting the interaction degree are identified, and a supplementary damping controller is designed for the GFM to mitigate the interactions and enhance system damping. The effectiveness of the proposed RIA method and controller design is validated through time-domain simulations in two test systems. • A state space model of a two-area system with GFMs is derived for dynamic analysis. • An RIA method is proposed to quantify the interaction between different subsystems. • An damping controller is designed for GFMs to mitigate the negative interactions.