Data-Driven Fast Frequency Control Using Inverter-Based Resources

doi:10.1109/TPWRS.2023.3337011

Data-Driven Fast Frequency Control Using Inverter-Based Resources

2024-07-01

2

OA

AI

E

Etinosa Ekomwenrenren *

J

John W. Simpson-Porco

DOI：10.1109/TPWRS.2023.3337011

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Abstract

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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

Data-Driven Fast Frequency Control Using Inverter-Based Resources

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