Data-Driven Dynamic Assessment of Wind Farm Frequency Characteristics Based on State Space Mapping

Data-Driven Dynamic Assessment of Wind Farm Frequency Characteristics Based on State Space Mapping

With the integration of large-scale wind turbines (WTs) into grids via electronic interfaces, power systems are suffering from increasingly serious frequency stability risks. Due to the large number of WTs and their complex dynamic characteristics, operators encounter challenges in coordinating sing...

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Bibliographic Details
Main Authors: Jiachen Liu, Zhongguan Wang, Xiaodi Zang, Xialin Li, Li Guo, Qinglin Meng, Chengshan Wang
Format: Article
Language:English
Published: China electric power research institute 2025-01-01
Series:CSEE Journal of Power and Energy Systems
Subjects:
Data-driven
droop control
Koopman
state space mapping
wind farm
Online Access:https://ieeexplore.ieee.org/document/10436612/
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