Work

Deep Reinforcement Learning Based Control of Wind Turbines for Fast Frequency Response

Year: 2025

Type: article

Source: IEEE Transactions on Industry Applications

DOI: 10.1109/tia.2025.3574047

Authors: Wei Gao, Rui Fan, Wei Qiao, Shaobu Wang, David Wenzhong Gao

Institutions: Argonne National Laboratory, University of Denver, University of Nebraska–Lincoln, Pacific Northwest National Laboratory

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4410770669

FWCI: 2.26

Cites: 28

Cited by: 10

Related to: 10