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Data-Driven Fast Frequency Control Using Inverter-Based Resources

delete2024-07-01
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OA
AI
E
Etinosa Ekomwenrenren *
J
John W. Simpson-Porco
E
Evangelos Farantatos
M
Mahendra Patel
A
Aboutaleb Haddadi
L
Lin Zhu
DOI:10.1109/TPWRS.2023.3337011delete
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摘要

摘要

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.
Keyword:
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

期刊

IEEE Transactions on Power Systems 封面图
IEEE Transactions on Power Systems
IF:
7.2
论文数:
1.1W
被引数:
5.0W

机构

E
electric power research institute (epri)
学者数:
543
论文数: 499
被引数: 0
U
University of Waterloo
学者数:
2.2W
论文数: 2.3W
被引数: 3.3W
U
university of toronto
学者数:
14.8W
论文数: 12.0W
被引数: 165
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