Title: Multifidelity multiobjective optimization for wake-steering strategies

Abstract

Abstract. Wake steering is an emerging wind power plant control strategy where upstream turbines are intentionally yawed out of perpendicular alignment with the incoming wind, thereby “steering” wakes away from downstream turbines. However, trade-offs between the gains in power production and fatigue loads induced by this control strategy are the subject of continuing investigation. In this study, we present a multifidelity multiobjective optimization approach for exploring the Pareto front of trade-offs between power and loading during wake steering. A large eddy simulation is used as the high-fidelity model, where an actuator line representation is used to model wind turbine blades and a rainflow-counting algorithm is used to compute damage equivalent loads. A coarser simulation with a simpler loads model is employed as a supplementary low-fidelity model. Multifidelity Bayesian optimization is performed to iteratively learn both a surrogate of the low-fidelity model and an additive discrepancy function, which maps the low-fidelity model to the high-fidelity model. Each optimization uses the expected hypervolume improvement acquisition function, weighted by the total cost of a proposed model evaluation in the multifidelity case. The multifidelity approach is able to capture the logit function shape of the Pareto frontier at a computational cost only 30 % thatmore » of the single-fidelity approach. Additionally, we provide physical insights into the vortical structures in the wake that contribute to the Pareto front shape.« less

Authors:

Quick, Julian ;

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• Search DOE PAGES for ORCID "0000-0002-1460-9808"

King, Ryan N.; Barter, Garrett ;

• Search DOE PAGES for author "Barter, Garrett"
• Search DOE PAGES for ORCID "0000-0001-7757-8853"

Hamlington, Peter E.

• Search DOE PAGES for author "Hamlington, Peter E."
• Search DOE PAGES for ORCID "0000-0003-0189-9372"

Publication Date:

Fri Sep 30 00:00:00 EDT 2022

Research Org.:

National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Org.:

USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office

OSTI Identifier:

1890510

Alternate Identifier(s):

OSTI ID: 1901939

Report Number(s):

NREL/JA-5000-84692
Journal ID: ISSN 2366-7451

Grant/Contract Number:  

AC36-08GO28308

Resource Type:

Published Article

Journal Name:

Wind Energy Science (Online)

Additional Journal Information:

Journal Name: Wind Energy Science (Online) Journal Volume: 7 Journal Issue: 5; Journal ID: ISSN 2366-7451

Publisher:

Copernicus GmbH

Country of Publication:

Germany

Language:

English

Subject:

17 WIND ENERGY; multifidelity; optimization; wake steering; wind