Research on Torque Compensation Strategy of Wind Maneuver Model Experimental System by Increasing the Analog Multiple of Moment of Inertia

Qiming Sun (), Yaqin Qiu and Chao Zhang
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Qiming Sun: College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China
Yaqin Qiu: School of Intelligent Engineering, Henan Institute of Technology, Xinxiang 453003, China
Chao Zhang: School of Intelligent Engineering, Henan Institute of Technology, Xinxiang 453003, China

Energies, 2024, vol. 18, issue 1, 1-16

Abstract: Fan power generation, a form of new energy, has gained significant attention. However, as fan capacities grow, the challenges in the development process also increase. A wind maneuver model experiment system must be constructed to simulate the actual fan operation dynamics. The wind turbine simulator is essential for conducting experiments on wind turbines and advancing the research of wind power production technology. However, due to the insufficient moment of inertia in wind turbine simulators under laboratory conditions, physical compensation methods are challenging to implement. Therefore, most scholars rely on software compensation algorithms to realize the stability simulation of wind turbine simulators with small moments of inertia and actual wind turbines with large moments of inertia. Under this research background, this paper presents the existing moment of inertia compensation strategies based on current research hotspots. The theoretical foundation covers the mechanical dynamic models of both actual wind turbines and simulators along with an analysis of inertia compensation strategies, including high-order filters and feedforward bias suppression. Finally, the Simulink simulation platform is used to compare and validate the effectiveness of these strategies.

Keywords: wind turbine; moment of inertia compensation strategy; MATLAB simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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