Large wind turbines control using stable economic model predictive pitch technique with state constraints.

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Bibliographic Details
Title: Large wind turbines control using stable economic model predictive pitch technique with state constraints.
Authors: Abdelbaky MA; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China; College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China; Electrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza 12411, Egypt. Electronic address: mohamedabdelkarimabdelbaky@szu.edu.cn., Liu X; State Key Laboratory of Alternate Electrical Power System with Renewable Energy Source, North China Electric Power University, Beijing 102206, China. Electronic address: liuxj@ncepu.edu.cn., Wang G; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China. Electronic address: wanggb@szu.edu.cn., Qiu L; College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China. Electronic address: qiuli@szu.edu.cn., Emara HM; Electrical Power Engineering Department, Faculty of Engineering, Cairo University, Giza 12411, Egypt. Electronic address: hmrashad@eng.cu.edu.eg.
Source: ISA transactions [ISA Trans] 2025 Dec; Vol. 167 (Pt A), pp. 589-605. Date of Electronic Publication: 2025 Sep 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0374750 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2022 (Electronic) Linking ISSN: 00190578 NLM ISO Abbreviation: ISA Trans Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-2022
DOI:10.1016/j.isatra.2025.08.054