Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics

Lucas Buccafusca, Carolyn L. Beck

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

Abstract

This paper proposes an algorithm to maximize the power extraction in wind turbine arrays under varying wind. Wind turbine arrays can be viewed as large coupled networks, for which the application of traditional optimization techniques are impractical. In this paper we present an extension to a dynamic programming solution previously developed under uniform wind and extend it to higher-fidelity wind models. We then update our solution for dynamically evolving wind conditions. Using a Markov model derived from real-world data, the underlying optimization problem is reformulated in a Model Predictive Control framework. Simulation results are discussed, which demonstrate our algorithm provides improved performance compared to prior results.

Original languageEnglish (US)
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2667-2672
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jan 18 2019
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
CountryUnited States
CityMiami
Period12/17/1812/19/18

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint Dive into the research topics of 'Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics'. Together they form a unique fingerprint.

  • Cite this

    Buccafusca, L., & Beck, C. L. (2019). Maximizing Power in Wind Turbine Arrays with Variable Wind Dynamics. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 2667-2672). [8619789] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CDC.2018.8619789