1. Proceedings
  2. I3M
  3. 2022
  4. MAS
  5. 10.46354/i3m.2022.mas.025

Wind turbine pitch and active tower damping control using metaheuristic multi-objective bat optimization

  • a Adrian Gambier ,
  • b Yul Yunazwin Nazaruddin
  • a Fraunhofer IWES, Fraunhofer Institute for Wind Energy Systems, Am Seedeich 45, Bremerhaven, 27572, Germany
  • b Institut Teknologi Bandung, Bandung 40132, Indonesia
Cite as
Gambier A., and Nazaruddin Y.Y (2022).,Wind turbine pitch and active tower damping control system design using metaheuristic multi-objective bat optimization. Proceedings of the 21st International Conference on Modelling and Applied Simulation MAS 2022). , 025 . DOI: https://doi.org/10.46354/i3m.2022.mas.025

Abstract

Collective pitch control (CPC) is normally combined with an active tower dam¬ping control (ATDC) and both control loops are commonly found in the control system of very large wind turbines. Normally, each controller is fine-tuned individually. However, the control loops have a conflict of interest: whereas the CPC keeps the rotational speed constant during overrated wind speed and introduces significant oscillations in the tower subsystem, the ATDC reduces the tower oscillations while detuning the CPC. Thus, the aim of the present contribution is to find an optimal balance where cooperative tuning of both controllers leads to the best possible performance of both controllers with the fewest reciprocal negative effects. In order to achieve the goal, the multi-objective bat algorithm is utilized to obtain all controller para¬meters. The effectiveness of the methodology is shown by means of a simulation example.

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