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Data-Driven Fast Frequency Control Using Inverter-Based Resources
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DOI：10.1109/TPWRS.2023.3337011.png)
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Abstract
En 中文
To address the control challenges associated with the increasing share of inverter-connected renewable energy resources, this paper proposes a direct data-driven approach for fast frequency control in the bulk power system. The proposed control scheme partitions the power system into control areas, and leverages local dispatchable inverter-based resources to rapidly mitigate local power imbalances upon events. The controller design is based directly on historical measurement sequences, and does not require identification of a parametric power system model. Theoretical results are provided to support the approach. Simulation studies on a nonlinear three-area test system demonstrate that the controller provides fast and localized frequency control under several types of contingencies.
Keywords:
Frequency control
Data models
Power system dynamics
Estimation
Renewable energy sources
Power system stability
Parametric statistics
low inertia
distributed control
renewable energy
smart grid
next generation control
Journal
IF:
7.2
Papers:
1.1W
Citations:
5.0W
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