Wind turbine control co-design using dynamic system derivative function surrogate model (DFSM) based on OpenFAST linearization

Yong Hoon Lee, Saeid Bayat and James T. Allison

Applied Energy, 2025, vol. 396, issue C, No S030626192500933X

Abstract: This research presents a comprehensive control co-design (CCD) framework for wind turbine systems, integrating nonlinear derivative function surrogate models (DFSMs) developed through OpenFAST linearization and data-driven approaches. The primary motivation for developing the DFSM is to accurately capture the nonlinear dynamics of wind turbine systems in a computationally efficient manner, thereby enabling effective and scalable optimization within the CCD framework. The developed DFSMs successfully represent state derivatives and system output responses across extensive ranges of plant, control, and state variables, validated against direct simulation outputs. By concurrently optimizing plant and control designs, the CCD approach leverages their synergistic interactions, resulting in significant reductions in the levelized cost of energy (LCOE) through an optimized balance of annual energy production (AEP) and costs associated with plant design parameters, while adhering to design and physical constraints. Comparative analyses demonstrate that CCD, particularly when utilizing open-loop optimal control (OLOC), outperforms traditional closed-loop control (CLC) strategies. Sensitivity and sparsity analyses reveal critical interdependencies among design variables, emphasizing key input–output parameter relationships that guide targeted design optimizations. These studies build on pioneering DFSM work that was limited to a handful of design and state variables; this work advances DFSM capabilities to the level of practical utility in engineering design for the first time. The work presented here serves as a foundational exploration; authors advocate for future research to incorporate broader constraints and other considerations to further advance CCD methodologies for wind turbine system optimization.

Keywords: Derivative function surrogate modeling (DFSM); Control co-design (CCD); Open-loop optimal control (OLOC); Wind turbine; Design optimization (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030626192500933X
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:396:y:2025:i:c:s030626192500933x

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/bibliographic
http://www.elsevier. ... 405891/bibliographic

DOI: 10.1016/j.apenergy.2025.126203

Access Statistics for this article

Applied Energy is currently edited by J. Yan

More articles in Applied Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().