Neural networks learn dissipativity matrices from data to create a model-free controller that improves transient stability in all-VSG power systems.
Power self-synchronization control of grid-forming voltage-source converters against a wide range of short-circuit ratio,
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Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control
Neural networks learn dissipativity matrices from data to create a model-free controller that improves transient stability in all-VSG power systems.