Integrated, Value-based and Multi-objective wind farm control powered by Artificial Intelligence

Informazioni relative al progetto

TWAIN

ID dell’accordo di sovvenzione: 101122194

DOI

10.3030/101122194

Data della firma CE 18 Agosto 2023

Data di avvio 1 Novembre 2023

Data di completamento 31 Ottobre 2027

Finanziato da

• Climate, Energy and Mobility

Costo totale

€ 5 998 642,50

Contributo UE

€ 5 998 642,50

Coordinato da

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

Data standardization methodology

Report that includes data ontology integration rules, dictionaries, and business rules for data cleaning.Task T1.4.

Ethics, Gender Action and Quality Plan

Gender dimension, quality, reliability, and ethics compliance of TWAIN activities - to be updated in Months 12, 24 and 48.Tasks T6.2 and T6.4.

Solution architecture vision, including security layers & constraints

A report describing the framework foundations design which is validated with the data owners in data architecture workshops.Task T1.1.

Dissemination, Exploitation, Communication Plan

Outcome of Tasks T5.1 (developing the PDCER early on in the project) and T5.2.Tasks T5.1 and T5.2.

Data Management Plan (1)

Data Management Plan

Description of data organization, protection, exploitation and access - to be updated in months 12, 24 and 48.Tasks T6.2 and T6.3.

Demonstrators, pilots, prototypes (1)

Initial setup of the data infrastructure, data environment, data acquisition and data access enablement

The initial version of the automated environment with security constraints identification.Task T1.3.

Pubblicazioni

Peer reviewed articles (17)

Leveraging directivity of wind farm noise to increase profitability

Autori: A H Shah, K Amhis, C R Sucameli, F Bertagnolio, A Fischer, C L Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/4/042043

A robust active power control algorithm to maximize wind farm power tracking margins in waked conditions

Autori: Simone Tamaro, Filippo Campagnolo, Carlo L. Bottasso
Pubblicato in: Wind Energy Science, Numero 10, 2025, ISSN 2366-7451
Editore: Copernicus GmbH
DOI: 10.5194/WES-10-2705-2025

Market-aware operation of grid-integrated wind power plants: beyond revenue, towards structural loads and grid services

Autori: F Zheng, A Vukobrat, A Anand, S Tamaro, T Göçmen, C L Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032049

Wind farm project valuation under revenue-driven farm control considering life time extension

Autori: Moritz Gräfe, Vasilis Pettas, Anastasia Ioannou, Athanasios Kolios, Nikolay Dimitrov
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/6/062063

Comparison of wind turbine load surrogate model performances with multi-scale local inflow parameterization

Autori: H Ramaswamy, A Guilloré, R Riva, J Quick, V Pettas, JP Murcia, F Campagnolo, CL Bottasso, PE Réthoré
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032073

Periodic Sparse Control to Prevent Undetectable Attacks on Over-Actuated Systems

Autori: Bart Wolleswinkel, Ivo van Straalen, Luca Ballotta, Alexander J. Gallo, Riccardo M. G. Ferrari
Pubblicato in: IEEE Control Systems Letters, Numero 9, 2025, ISSN 2475-1456
Editore: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/LCSYS.2025.3581865

Towards holistic wind farm design optimization: an integrated multidisciplinary approach

Autori: Nicolò Italiano, Vasilis Pettas, Tuhfe Göçmen, Nicolaos A. Cutululis
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032082

Wind farm inertia forecasting accounting for wake losses, turbine-level control strategies, and operational constraints

Autori: Andre Thommessen, Abhinav Anand, Carlo L. Bottasso, Christoph M. Hackl
Pubblicato in: Wind Energy Science, Numero 11, 2026, ISSN 2366-7451
Editore: Copernicus GmbH
DOI: 10.5194/WES-11-1399-2026

Switched Zero Dynamics Attacks on Sampled-Data Systems with Non-Uniform Sampling: Vulnerability and Countermeasures

Autori: Bart Wolleswinkel, Manuel Mazo, Jr., Riccardo Ferrari
Pubblicato in: ACM Transactions on Cyber-Physical Systems, Numero 9, 2025, ISSN 2378-962X
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3746643

An initial study on the environmental value of wind farm control

Autori: Samuel Kainz, Annamaria Scherzl, Adrien Guilloré, Abhinav Anand, Carlo L. Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3131, 2025, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3131/1/012044

Impact of reliability parameters on O&M cost and greenhouse gas emissions of offshore wind farms

Autori: Moritz Gräfe, Samuel Kainz, Azélice Ludot, Vasilis Pettas, Abhinav Anand, Carlo L. Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3131, 2025, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3131/1/012034

Wind farm control for inertial and primary frequency support

Autori: A Anand, S Tamaro, C L Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032040

Efficient generation of location-agnostic wind turbine load surrogate models using wake slices

Autori: A Guilloré, A Chaudhary, A Anand, A Vad, A H Shah, V Pettas, T Göçmen, C L Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032106

A holistic framework for site-specific wind power forecasting

Autori: A Vukobrat, A Vad, A Anand, C L Bottasso
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/2/022017

Switched Zero Dynamics Attacks on Sampled-Data Systems with Non-Uniform Sampling: Vulnerability and Countermeasures

Autori: Bart Wolleswinkel, Manuel Mazo, Jr., Riccardo Ferrari
Pubblicato in: ACM Transactions on Cyber-Physical Systems, Numero 9, 2025, ISSN 2378-962X
Editore: Association for Computing Machinery (ACM)
DOI: 10.1145/3746643

Data-driven models for predicting structural loads in offshore wind turbines using SCADA data

Autori: Iasonas Tsaklis, Moritz Johann Gräfe, Vasilis Pettas
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/6/062042

A framework to evaluate structural fatigue accumulation and health metrics of wind farms under different operational strategies

Autori: Vasilis Pettas, Moritz Gräfe, Deniz Gökhan Dirik, Harihara Rajan Ramaswamy, Riccardo Riva, Julian Quick, Pierre-Elouan Réthoré
Pubblicato in: Journal of Physics: Conference Series, Numero 3224, 2026, ISSN 1742-6588
Editore: IOP Publishing
DOI: 10.1088/1742-6596/3224/3/032079

Conference proceedings (4)

Zero Dynamics Attacks Subject to Actuator Saturation: A Constrained Optimization Approach

Autori: Bart Wolleswinkel, Manuel Mazo, Riccardo Ferrari
Pubblicato in: 2025 European Control Conference (ECC), 2025
Editore: IEEE
DOI: 10.23919/ECC65951.2025.11186940

Profit-optimal Data-Driven Operation of a Hybrid Power Plant Participating in Energy Markets under Forecast Uncertainties

Autori: Anand, Abhinav; Petzschmann, Jonas; Strecker, Katharina; Braunbehrens, Robert; Kaifel, Anton; Bottasso, Carlo Luigi
Editore: Zenodo
DOI: 10.5281/ZENODO.15005498

Wind Farm Inertia Forecasting Accounting for Wake Losses, Control Strategies and Operational Constraints

Autori: Thommessen, Andre; Anand, Abhinav; Bottasso, Carlo Luigi; Hackl, Christoph Michael
Editore: Zenodo
DOI: 10.5281/ZENODO.15007407

Bayesian Filtering using Galerkin-Methods for Nonlinear Prediction and Measurement Updates

Autori: Wolfram Martens, Manon Kok, Riccardo Ferrari
Pubblicato in: 2025 European Control Conference (ECC), 2025
Editore: IEEE
DOI: 10.23919/ECC65951.2025.11186854