Modeling, Control and Optimization of Wind Power Systems
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A3: Wind, Wave and Tidal Energy".
Deadline for manuscript submissions: 27 June 2025 | Viewed by 482
Special Issue Editor
Special Issue Information
Dear Colleagues,
As the world transitions towards sustainable energy solutions, wind power systems have emerged as a cornerstone of modern renewable energy infrastructure. This shift necessitates significant advancements in the modeling, control, and optimization of wind power systems to meet the growing demand for efficient, reliable, and cost-effective energy solutions.
This Special Issue focuses on the latest innovations in the design, analysis, and management of wind power systems, aiming to improve their performance, reliability, and adaptability in diverse operating conditions. Topics of interest include novel techniques in system modeling, state-of-the-art control methodologies, and optimization approaches that maximize energy output while minimizing operational costs and environmental impacts.
Topics of interest for publication include, but are not limited to, the following:
- Advanced modeling techniques for wind turbines and entire wind power systems;
- Innovative control strategies for enhancing stability and efficiency;
- Optimization of energy capture and integration into power grids;
- Fault detection, diagnosis, and tolerance methods for wind power systems;
- Hybrid systems combining wind power with other renewable energy sources;
- AI and machine learning applications in wind power system management;
- Novel materials and designs for enhanced turbine performance;
- Grid-friendly technologies for seamless power integration;
- Economic and environmental analyses for wind energy optimization.
We invite you to contribute your groundbreaking research to this Special Issue, helping to shape the future of wind power technology.
Dr. Ciprian Sorandaru
Guest Editor
Manuscript Submission Information
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Keywords
- wind power systems
- system modeling
- control strategies
- optimization
- fault tolerance
- grid integration
- hybrid renewable systems
- AI applications
- advanced materials
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