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Design and Validation of Demanded Power Point Tracking Control Algorithm of Wind Turbine

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Abstract

Simple demanded power point tracking (DPPT) control algorithms with a mode switch are proposed and experimentally validated in this study. One is a torque-based control and uses the generator torque with fixed blade-pitch angle. The other is blade-pitch based and uses both the generator torque and blade pitch for DPPT control. Both control algorithms receive power demand from a higherlevel controller and use their control strategies to track it. The two DPPT control algorithms were integrated with the basic torque and pitch control algorithms, and simulations using an in-house code and a high fidelity multi-body dynamic aeroelastic code were performed for steady and dynamic conditions. To verify the algorithms experimentally, wind tunnel tests with a scaled wind turbine having active pitch control capability were performed. From the simulation and the test, the proposed DPPT algorithms integrated into the conventional control algorithm were found to work well with the basic wind turbine power control algorithm. The torquebased control showed better performance in terms of power tracking, but the pitch-based control showed better performance in terms of loading.

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Abbreviations

Ft :

Thrust force

Pcmd :

Power command

P:

Electrical power

Tg :

Generator torque

T cg :

Torque command

T set–pointg :

Set-point of torque

u:

Signal of mode switch

V:

Wind speed

Vr :

Rotor averaged wind speed

ẋ :

Tower fore-aft velocity

β:

Pitch angle

β0 :

Fine pitch angle

βc :

Pitch angle command

Ωg :

Generator speed

Ωr :

Rotor speed

Ω errg :

Generator speed error

Ω set–pointg :

Set-point of generator speed

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Authors and Affiliations

  1. Department of Advanced Mechanical Engineering, Kangwon National University, Engineering Building 6–319, 1, Gangwondaehak-gil, Chuncheon-si, Gangwon-do, 24341, Republic of Korea

    Kwansu Kim, Hyun-Gyu Kim & Cheol-jin Kim

  2. Department of Mechatronics Engineering, Kangwon National University, Engineering Building 6–307, 1, Gangwondaehak-gil, Chuncheon-si, Gangwon-do, 24341, Republic of Korea

    Insu Paek

  3. Wind Energy Institute, Technische Universität München, D-85748 Garching b., München, Germany

    Carlo L. Bottasso & Filippo Campagnolo

Authors
  1. Kwansu Kim
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  2. Hyun-Gyu Kim
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  3. Cheol-jin Kim
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  4. Insu Paek
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  5. Carlo L. Bottasso
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  6. Filippo Campagnolo
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Corresponding author

Correspondence to Insu Paek.

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Kim, K., Kim, HG., Kim, Cj. et al. Design and Validation of Demanded Power Point Tracking Control Algorithm of Wind Turbine. Int. J. of Precis. Eng. and Manuf.-Green Tech. 5, 387–400 (2018). https://doi.org/10.1007/s40684-018-0041-6

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  • DOI: https://doi.org/10.1007/s40684-018-0041-6

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