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Otimização de Controle Estrutural em Turbinas Eólicas Offshore Flutuantes do Tipo Barcaça Através de Computação Evolucionária

Research output: Contribution to conferencePaperpeer-review

Abstract

Offshore wind turbines have the potential to transform electricity production. Floating platforms have been developed to generate profitable and efficient energy in deep waters, but still face significant challenges. This work proposes the use of evolutionary computation to optimize passive structural control techniques in floating barge-type wind turbines, aiming to mitigate pendular loads. Control devices, such as Tuned Mass Dampers (TMDs), are analyzed in the FAST-SC simulator. Optimization uses the standard deviation of tower fatigue as a fitness function. The optimization seeks to improve TMD performance, limiting the stroke to the nacelle.
Original languagePortuguese (Brazil)
Number of pages7
StatePublished - 2024
EventXXV Congresso Brasileiro de Automática - Centro de Convenções Windsor, Rio de Janeiro, Brazil
Duration: 15 Oct 202418 Oct 2024
Conference number: 25
https://cba2024.vidaestudantil.com/

Congress

CongressXXV Congresso Brasileiro de Automática
Abbreviated titleCBA 2024
Country/TerritoryBrazil
CityRio de Janeiro
Period15/10/2418/10/24
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  3. SDG 13 - Climate Action
    SDG 13 Climate Action
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

Keywords

  • Offshore wind turbines
  • Passive structural control
  • Tuned mass damper
  • Optimization
  • Evolutionary computation
  • Genetic algorithms
  • FAST-SC simulator

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