A Hybrid Deep Learning and Model Predictive Control Framework for Wind Farm Frequency Regulation

To enhance wind farm frequency regulation in renewable-dominant power systems, this paper proposes a bi-level hybrid framework integrating deep learning and model predictive control (MPC) by retaining the critical wake propagation delay while neglecting higher-order turbulence effects. The upper lay...

Full description

Bibliographic Details

Published in:	Sustainability Vol. 17; no. 18; p. 8445
Main Authors:	Ji, Ziyang, Zhang, Jie, Du, Keke, Zhou, Tao
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.09.2025
Subjects:	Alternative energy sources Buildings and facilities Clustering Control Deep learning Distance learning Frequency response (Dynamics) Machine learning Renewable resources Turbines Wind farms Wind power China
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!