AI & Renewable Energy
Adaptive RBF Neural Network MPPT for Hybrid Renewable DC Microgrids
AI & Renewable Energy
Nodal Inertia and RoCoF-Aware Adaptive Frequency Control in PowerFactory
As power systems become converter-dominated, system-wide inertia is no longer enough to describe local frequency behaviour. Nodal inertia and local RoCoF provide a richer basis for adaptive converter control.
Research motivation
Different buses can experience different frequency trajectories after a disturbance, especially in weak or geographically separated converter-dominated systems.
Model structure
A study can use multiple grid-forming or virtual-synchronous converters, renewable generation, BESS and dynamic loads. Local frequency and RoCoF are measured at key buses.
Adaptive control
Virtual inertia, damping or active-power support can be adjusted based on local RoCoF, estimated inertia or system state rather than fixed gains.
Evaluation
Important plots include bus frequency, RoCoF, estimated inertia, converter active power, DC-link response and comparison between fixed and adaptive control.
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Topic FAQs
Frequently asked questions
It helps identify where frequency support is most needed and can enable location-aware adaptive control.
Yes. Dynamic models, DSL control blocks and RMS simulations can be used for system-level studies.
