Periodic Power Fluctuation Smoothing Control Using Blade Inertia and DC-Link Capacitor in Variable-Speed Wind Turbine

Jin-Ho Do, Ye-Chan Kim and Seung-Ho Song ()
Additional contact information
Jin-Ho Do: Department of Electrical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
Ye-Chan Kim: Department of Electrical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea
Seung-Ho Song: Department of Electrical Engineering, Kwangwoon University, Seoul 01897, Republic of Korea

Energies, 2025, vol. 18, issue 14, 1-21

Abstract: Due to the structural aspects of the wind turbine, such as wind shear and tower shadow effects, the output power of the wind turbine has periodic fluctuations, known as 3P fluctuations. These fluctuations can reduce overall power generation and deteriorate power quality. In this context, this paper proposes a power smoothing control method that utilizes rotor inertia and a DC-link capacitor as small-scale energy storage devices. First, the typical energy storage capacities of the rotor’s rotational kinetic energy and the DC-link capacitor’s electrostatic energy are analyzed to assess their smoothing potential. Secondly, a control method is presented to apply the rotor and the DC-link capacitor as small-scale energy storage, with the smoothing frequency range allocated according to their respective storage capacities. Finally, the proposed method is compared with the conventional maximum power point tracking (MPPT) method and the 3P-notch filter method. The effectiveness of the proposed algorithm is verified through MATLAB/Simulink simulations, demonstrating its capability to mitigate periodic power fluctuations. The results showed that the proposed control method is applicable, reliable, and effective in mitigating periodic power fluctuations.

Keywords: power smoothing; wind shear; tower shadow effect; MPPT; variable DC-Link voltage control (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: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/18/14/3763/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/14/3763/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:14:p:3763-:d:1702884

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().