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...

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Vydané v:	Sustainability Ročník 17; číslo 18; s. 8445
Hlavní autori:	Ji, Ziyang, Zhang, Jie, Du, Keke, Zhou, Tao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.09.2025
Predmet:	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
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