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Article type: Research Article
Authors: Wang, Fang
Affiliations: College of Energy and Machinery, Dezhou University, Dezhou, Shandong 253000, China | E-mail: [email protected]
Correspondence: [*] Corresponding author: College of Energy and Machinery, Dezhou University, Dezhou, Shandong 253000, China. E-mail: [email protected].
Abstract: Direct-drive permanent magnet wind turbine has high power generation efficiency, especially in low wind speed environment, and is widely used for wind power generation. Direct-driven permanent magnet wind turbines show no inertia response to the system through the grid connection of full-power converters, resulting in increased frequency fluctuation, poor response effect and reduced stability time of the system under sudden load and sudden wind speed conditions. Based on this, an inertia control method of direct-drive permanent magnet wind turbine under high wind power penetration is proposed, and the model of direct-drive permanent magnet wind turbine is built by designing functional modules to improve the synchronous control effect under high wind power penetration. The vector control calculation method is used to design the virtual inertia control parameters, and the decoupling quantity is introduced to decouple the parameters with filter inductance, so as to improve the supporting capacity of power grid frequency fluctuation. The simulation results show that the proposed method has a fast frequency response under sudden load change, and it drops to the lowest value of 49.16 Hz at 12.14 s. Under the condition of sudden change of wind speed, the system frequency rises to the highest value of 50.38 Hz at 12.94 s. It is proved that the proposed method has a certain suppression effect on the amplitude of frequency change, effectively shortens the time for the system frequency to return to steady state, and thus has more advantages.
Keywords: High wind power permeability, direct drive permanent magnet wind turbine, inertial control, virtual inertia, direct drive type, permanent magnet synchronous
DOI: 10.3233/JCM-226726
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 23, no. 4, pp. 2225-2235, 2023
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