Enhancing power control in doubly fed induction generator based wind turbines: a performance comparison of fuzzy logic and sliding mode control methods

• DOI: 10.2478/sbeef-2023-0018
• Publication Date: 2024-03-04T16:38:57Z
• Authors: Anis Feddaoui; Lotfi Farah; Abdelouahab Benretem; Mohammed Abdeljal...; Zahira Bouguerra; Youcef Djeriri
• Keywords: Control logic; Mode (computer interface)

Abstract Effective power regulation is critical for ensuring the stability and performance of Doubly Fed Induction Generator (DFIG)-based wind turbines. This study conducts a comparative between two control methodologies: fuzzy logic (FLC) sliding mode (SMC), to regulate in DFIG-based The paper emphasizes importance turbines its impact on grid stability, presents mathematical equations governing turbine systems, encompassing machine equations, objectives related regulation. A comprehensive model system developed, accounting dynamic behavior interface considerations. modeli ng process integrates relevant electrical mechanical components, along with strategies. Subsequently, FLC SMC methodologies are developed implemented desired power. Detailed discussions controller design tuning provided, aligning specific requirements. results highlight SMC’s effectiveness achieving precise within turbines, showcasing superior response characteristics. offers valuable insights into advantages trade-offs associated each approach, aiding researchers practitioners selecting most suitable methodology their operational needs. In summary, this contributes field systems through controllers, focusing regulating findings demonstrate response, enhancing our understanding optimizing integration sustainable energy systems.