Physics-informed optimization of robust control system to enhance power efficiency of renewable energy: Application to wind turbine

Allah Rakhio Junejo, Nauman Ullah Gilal and Jaehyeok Doh

Energy, 2023, vol. 263, issue PB

Abstract: This study mainly focused on wind turbine (WT) design in urban environments because the negative torque generated by the returning wind blade profile was the primary cause of its low power efficiency. The turbine chosen in this study was a vertical-axis wind turbine (H-VAWT). However, the physics-informed optimization of the robust control system (RCS) design of the WT was challenging because the rotor blades (NACA 0012 airfoil) had nonlinear aerodynamic characteristics. Furthermore, our proposed controller was used in this study because of its ability to suppress disturbances and ensure stability against various uncertainties. The electrical block setup used an H-type VAWT based on advanced direct vector control generators. This indicated that a low-inertia turbine was more acceptable than a high-inertia turbine because of its suitability for maximum power conversion. Overall, there was a substantial active power gain of approximately 25% greater than conventional control systems.

Keywords: Physics-informed optimization; Power efficiency; Vertical-axis wind turbine (VAWT); Robust control system (RCS); Enhanced power efficiency (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222025531

DOI: 10.1016/j.energy.2022.125667

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