Primary Frequency Response of Floating Offshore Wind Turbines via Deep Reinforcement Learning and Domain Randomization

Mingyang Mei; Peng Kou; Zhihao Zhang; Yuanhang Zhang; Zhihang Xue; Deliang Liang

doi:10.1109/tste.2025.3555266

ScienceGate Book Chapters

JOURNAL ARTICLE

Primary Frequency Response of Floating Offshore Wind Turbines via Deep Reinforcement Learning and Domain Randomization

Mingyang Mei Peng Kou Zhihao Zhang Yuanhang Zhang Zhihang Xue Deliang Liang

Year: 2025 Journal: IEEE Transactions on Sustainable Energy Vol: 16 (4)Pages: 2506-2520 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tste.2025.3555266

Get Full-Text PDF Get Analytical Report

Keywords:

Frequency domain Frequency response Wind power Offshore wind power Time domain Automatic frequency control Control theory (sociology)

Metrics

Cited By

3.06

FWCI (Field Weighted Citation Impact)

Refs

0.87

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Wave and Wind Energy Systems

Physical Sciences → Engineering → Ocean Engineering

Wind Energy Research and Development

Physical Sciences → Engineering → Aerospace Engineering

Acoustic Wave Phenomena Research

Physical Sciences → Engineering → Biomedical Engineering

Primary Frequency Response of Floating Offshore Wind Turbines via Deep Reinforcement Learning and Domain Randomization

Metrics

Citation History

Topics

Related Documents

Deep Reinforcement Learning-Based Pitch Control for Floating Offshore Wind Turbines

Iterative Frequency-Domain Response of Floating Offshore Wind Turbines with Parametric Drag

An improved frequency domain model for floating offshore wind turbines

Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines

A fully coupled frequency domain model for floating offshore wind turbines