Fundamental Assessment of Oscillatory Performance of Grid-Forming Integrated Systems
2024 International Workshop on Artificial Intelligence and Machine Learning for Energy Transformation (AIE)(2024)
Abstract
Electrical power systems are witnessing a paradigm shift from traditional synchronous generators towards an in-creased integration of power electronic interfaced (PEl) generation. As the global community leans towards renewables, ensuring grid stability during this transformation becomes paramount. This paper presents a fundamental study of oscillatory stability dynamics for three emerging grid-forming converter controller topologies: Virtual Synchronous Machine (VSM), droop control, and the Synchroverter, in comparison to conventional syn-chronous generation. Utilizing the two area 4 generator (2A4G) system for analysis, the research underscores the significance of converter integration, proximity-based enhancements in damping capabilities, and the delicate equilibrium in parameter tuning for optimal stability. The results pave the way for informed decision-making in grid development and renewable energy com-prehension, highlighting the potential of grid-forming converter controllers in steering a sustainable energy future.
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Key words
Grid-Forming Converters,Oscillatory Stability,DigSilent PowerFactory,VSM,Droop,Synchroverter
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