ADVANCED CONTROL STRATEGIES FOR WIND ENERGY CONVERSION SYSTEMS
DOI:
https://doi.org/10.66238/jaeee8Keywords:
Wind Energy Conversion Systems, Model Predictive Control, Sliding Mode Control, Artificial Intelligence, Grid IntegrationAbstract
The global emphasis on renewable energy has propelled wind energy conversion systems (WECS) into the forefront of sustainable power generation. This paper presents an in-depth analysis of advanced control strategies designed to enhance the efficiency, stability, and reliability of WECS. The study focuses on variable-speed wind turbines, grid integration challenges, and dynamic control methodologies including Model Predictive Control (MPC), Sliding Mode Control (SMC), and Artificial Intelligence (AI)-based approaches. Simulation results and performance comparisons demonstrate the effectiveness of these techniques in mitigating power fluctuations and improving grid compatibility. The paper concludes with future prospects and challenges for control systems in large-scale wind energy integration.
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