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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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https://doi.org/10.5194/wes-2020-88
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-2020-88
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

  08 Jul 2020

08 Jul 2020

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A revised version of this preprint is currently under review for the journal WES.

Axial induction controller field test at Sedini wind farm

Ervin A. Bossanyi and Renzo Ruisi Ervin A. Bossanyi and Renzo Ruisi
  • DNV GL, One Linear Park, Avon Street, Bristol, BS2 0PS, UK

Abstract. This paper describes the design and testing of an axial induction controller implemented on a row of nine turbines on the Sedini Wind Farm in Sardinia, Italy. This work was performed as part of the EU Horizon 20-20 research project CL Windcon. An engineering wake model, selected for its good fit to historical SCADA data from the site, was used in the LongSim code to optimise turbine power reduction setpoints for a large matrix of steady-state wind conditions. The setpoints were incorporated into a dynamic control algorithm capable of running on site using available wind condition estimates from the turbines. The complete algorithm was tested in dynamic time-domain simulations using LongSim, using a time-varying wind field generated from historical met mast data from the site. The control algorithm was implemented on site, with the wind farm controller toggled on and off at regular intervals to allow the performance with and without the controller to be compared in comparable wind conditions. Data was collected from July 2019 until early February 2020. The results have been analysed and show a positive increase in energy production resulting from the induction control, in line with LongSim model predictions. The measurements also provide a convincing validation of the LongSim model, proving its value for both steady state setpoint optimisation and time-domain simulation of wind farm performance.

Ervin A. Bossanyi and Renzo Ruisi

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Ervin A. Bossanyi and Renzo Ruisi

Ervin A. Bossanyi and Renzo Ruisi

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Latest update: 29 Oct 2020
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Short summary
This paper describes the design and field testing of a controller for reducing wake interactions on a wind farm. Reducing the power of some turbines weakens their wakes, allowing other turbines to produce more power, so that the total wind farm power may increase. There have been doubts that this is feasible, but these field tests on a full-scale wind farm have demonstrated that this goal has been achieved, also providing convincing validation of the model used for designing the controller.
This paper describes the design and field testing of a controller for reducing wake interactions...
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