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The increasing prominence of converter-based assets in power systems has raised concerns about grid stability, necessitating the development of advanced performance analysis tools for effective grid planning and operations. To address this issue, we propose an automated architecture based on MATLAB/Simulink, which enables a comprehensive examination of converter-dominated distribution grids. This architecture facilitates analysis across various scenarios, including voltage and frequency instabilities, using techniques such as time domain and small-signal analyses. Moreover, it allows the aggregation of grid models to conduct more detailed studies. The integration of the Common Information Model (CIM) import tool enhances collaboration and interoperability with grid operator data. Case studies were conducted on a 1500-node UK distribution system dataset featuring over 500 dynamic assets to demonstrate the effectiveness of the architecture in analyzing voltage and frequency stability, fault responses, and the impact of energy storage reserve (ESR) under different converter control modes, including legacy grid-following and advanced grid-forming strategies. Furthermore, we outline future enhancements aimed at capturing more intricate converter dynamics and highlight the educational value of the proposed framework, which promises to advance the field of power system dynamic analysis.
Pandey et al. (2024) studied this question.