Cooperative Control of Wind Farms under Maintenance Constraints

Lucas Buccafusca, Carolyn L. Beck

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we incorporate wake steering models into a multiobjective wind farm model for improving power extraction, specifically under the framework of handling maintenance of individual turbines. We expand upon a previous heuristic method to find axial induction factors for the far-field wake problem and using the results of the algorithm as parameters for a model predictive control framework. Simulation results are discussed, demonstrating improved power output over algorithms that do not account for maintenance.

Original languageEnglish (US)
Title of host publication2022 IEEE Conference on Control Technology and Applications, CCTA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages568-574
Number of pages7
ISBN (Electronic)9781665473385
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE Conference on Control Technology and Applications, CCTA 2022 - Trieste, Italy
Duration: Aug 23 2022Aug 25 2022

Publication series

Name2022 IEEE Conference on Control Technology and Applications, CCTA 2022

Conference

Conference2022 IEEE Conference on Control Technology and Applications, CCTA 2022
Country/TerritoryItaly
CityTrieste
Period8/23/228/25/22

Keywords

  • Cooperative Systems
  • Multiobjective Control
  • Nonconvex Optimization
  • Wind Farms

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Control and Systems Engineering
  • Control and Optimization

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