Data-Driven Virtual Inertia Control Method of Doubly Fed Wind Turbine

Data-Driven Virtual Inertia Control Method of Doubly Fed Wind Turbine

This paper presents a data-driven virtual inertia control method for doubly fed induction generator (DFIG)-based wind turbine to provide inertia support in the presence of frequency events. The Markov parameters of the system are first obtained by monitoring the grid frequency and system operation s...

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Bibliographic Details
Main Authors: Tai Li, Leqiu Wang, Yanbo Wang, Guohai Liu, Zhiyu Zhu, Yongwei Zhang, Li Zhao, Zhicheng Ji
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Energies
Subjects:
DFIG
virtual inertia
data-driven control
Markov parameters
self-correction
optimal feedback controller
Online Access:https://www.mdpi.com/1996-1073/14/17/5572

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