Progress on the development of a holistic coupled model of dynamics for offshore wind farms: phase II - study on a data-driven based reduced-order model for a single wind turbine

Z. Lin, A. Stetco, J. Carmona-Sanchez, D. Cevasco, M. Collu, G. Nenadic, O. Marjanovic, M. Barnes

Research output: Contribution to conferencePaper

Abstract

At present, over 1500 offshore wind turbines (OWTs) are operating in the UK with a capacity of 5.4GW. Until now, the research has mainly focused on how to minimise the CAPEX, but Operation and Maintenance (O&M) can represent up to 39% of the lifetime costs of an offshore wind farm, mainly due to the assets’ high cost and the harsh environment in which they operate. Focusing on O&M, the HOME Offshore research project (www.homeoffshore.org) aims to derive an advanced interpretation of the fault mechanisms through holistic multiphysics modelling of the wind farm. With the present work, an advanced model of dynamics for a single wind turbine is developed, able to identify the couplings between aero-hydro-servo-elastic (AHSE) dynamics and drive train dynamics. The wind turbine mechanical components, modelled using an AHSE dynamic model, are coupled with a detailed representation of a variable-speed direct-drive 5MW permanent magnet synchronous generator (PMSG) and its fully rated voltage source converters (VSCs). Using the developed model for the wind turbine, several case studies are carried out for above and below rated operating conditions. Firstly, the response time histories of wind turbine degrees of freedom (DOFs) are modelled using a full-order coupled analysis. Subsequently, regression analysis is applied in order to correlate DOFs and generated rotor torque (target degree of freedom for the failure mode in analysis), quantifying the level of inherent coupling effects. Finally, the reduced-order multiphysics models for a single offshore wind turbine are derived based on the strength of the correlation coefficients. The accuracy of the proposed reduced-order models is discussed, comparing it against the full-order coupled model in terms of statistical data and spectrum. In terms of statistical results, all the reducedorder models have a good agreement with the full-order results. In terms of spectrum, all the reduced-order models have a good agreement with the full-order results if the frequencies of interest are below 0.75Hz.

Conference

ConferenceASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019
CountryUnited Kingdom
CityGlasgow
Period9/06/1914/06/19

Fingerprint

Offshore wind farms
Wind turbines
Offshore wind turbines
Synchronous generators
Degrees of freedom (mechanics)
Regression analysis
Failure modes
Permanent magnets
Costs
Dynamic models
Torque
Rotors
Electric potential

Keywords

  • offshore wind turbines
  • Operation & Maintenance
  • O&M
  • aero-hydro-servo-elastic dynamics
  • AHSE
  • permanent magnet synchronous generator
  • PMSG
  • voltage source converters
  • VSCs

Cite this

Lin, Z., Stetco, A., Carmona-Sanchez, J., Cevasco, D., Collu, M., Nenadic, G., ... Barnes, M. (2019). Progress on the development of a holistic coupled model of dynamics for offshore wind farms: phase II - study on a data-driven based reduced-order model for a single wind turbine. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.
Lin, Z. ; Stetco, A. ; Carmona-Sanchez, J. ; Cevasco, D. ; Collu, M. ; Nenadic, G. ; Marjanovic, O. ; Barnes, M. / Progress on the development of a holistic coupled model of dynamics for offshore wind farms : phase II - study on a data-driven based reduced-order model for a single wind turbine. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.9 p.
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abstract = "At present, over 1500 offshore wind turbines (OWTs) are operating in the UK with a capacity of 5.4GW. Until now, the research has mainly focused on how to minimise the CAPEX, but Operation and Maintenance (O&M) can represent up to 39{\%} of the lifetime costs of an offshore wind farm, mainly due to the assets’ high cost and the harsh environment in which they operate. Focusing on O&M, the HOME Offshore research project (www.homeoffshore.org) aims to derive an advanced interpretation of the fault mechanisms through holistic multiphysics modelling of the wind farm. With the present work, an advanced model of dynamics for a single wind turbine is developed, able to identify the couplings between aero-hydro-servo-elastic (AHSE) dynamics and drive train dynamics. The wind turbine mechanical components, modelled using an AHSE dynamic model, are coupled with a detailed representation of a variable-speed direct-drive 5MW permanent magnet synchronous generator (PMSG) and its fully rated voltage source converters (VSCs). Using the developed model for the wind turbine, several case studies are carried out for above and below rated operating conditions. Firstly, the response time histories of wind turbine degrees of freedom (DOFs) are modelled using a full-order coupled analysis. Subsequently, regression analysis is applied in order to correlate DOFs and generated rotor torque (target degree of freedom for the failure mode in analysis), quantifying the level of inherent coupling effects. Finally, the reduced-order multiphysics models for a single offshore wind turbine are derived based on the strength of the correlation coefficients. The accuracy of the proposed reduced-order models is discussed, comparing it against the full-order coupled model in terms of statistical data and spectrum. In terms of statistical results, all the reducedorder models have a good agreement with the full-order results. In terms of spectrum, all the reduced-order models have a good agreement with the full-order results if the frequencies of interest are below 0.75Hz.",
keywords = "offshore wind turbines, Operation & Maintenance, O&M, aero-hydro-servo-elastic dynamics, AHSE, permanent magnet synchronous generator, PMSG, voltage source converters, VSCs",
author = "Z. Lin and A. Stetco and J. Carmona-Sanchez and D. Cevasco and M. Collu and G. Nenadic and O. Marjanovic and M. Barnes",
note = "(c) ASME; ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019 ; Conference date: 09-06-2019 Through 14-06-2019",
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Lin, Z, Stetco, A, Carmona-Sanchez, J, Cevasco, D, Collu, M, Nenadic, G, Marjanovic, O & Barnes, M 2019, 'Progress on the development of a holistic coupled model of dynamics for offshore wind farms: phase II - study on a data-driven based reduced-order model for a single wind turbine' Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom, 9/06/19 - 14/06/19, .

Progress on the development of a holistic coupled model of dynamics for offshore wind farms : phase II - study on a data-driven based reduced-order model for a single wind turbine. / Lin, Z.; Stetco, A.; Carmona-Sanchez, J.; Cevasco, D.; Collu, M.; Nenadic, G.; Marjanovic, O.; Barnes, M.

2019. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Progress on the development of a holistic coupled model of dynamics for offshore wind farms

T2 - phase II - study on a data-driven based reduced-order model for a single wind turbine

AU - Lin, Z.

AU - Stetco, A.

AU - Carmona-Sanchez, J.

AU - Cevasco, D.

AU - Collu, M.

AU - Nenadic, G.

AU - Marjanovic, O.

AU - Barnes, M.

N1 - (c) ASME

PY - 2019/6/14

Y1 - 2019/6/14

N2 - At present, over 1500 offshore wind turbines (OWTs) are operating in the UK with a capacity of 5.4GW. Until now, the research has mainly focused on how to minimise the CAPEX, but Operation and Maintenance (O&M) can represent up to 39% of the lifetime costs of an offshore wind farm, mainly due to the assets’ high cost and the harsh environment in which they operate. Focusing on O&M, the HOME Offshore research project (www.homeoffshore.org) aims to derive an advanced interpretation of the fault mechanisms through holistic multiphysics modelling of the wind farm. With the present work, an advanced model of dynamics for a single wind turbine is developed, able to identify the couplings between aero-hydro-servo-elastic (AHSE) dynamics and drive train dynamics. The wind turbine mechanical components, modelled using an AHSE dynamic model, are coupled with a detailed representation of a variable-speed direct-drive 5MW permanent magnet synchronous generator (PMSG) and its fully rated voltage source converters (VSCs). Using the developed model for the wind turbine, several case studies are carried out for above and below rated operating conditions. Firstly, the response time histories of wind turbine degrees of freedom (DOFs) are modelled using a full-order coupled analysis. Subsequently, regression analysis is applied in order to correlate DOFs and generated rotor torque (target degree of freedom for the failure mode in analysis), quantifying the level of inherent coupling effects. Finally, the reduced-order multiphysics models for a single offshore wind turbine are derived based on the strength of the correlation coefficients. The accuracy of the proposed reduced-order models is discussed, comparing it against the full-order coupled model in terms of statistical data and spectrum. In terms of statistical results, all the reducedorder models have a good agreement with the full-order results. In terms of spectrum, all the reduced-order models have a good agreement with the full-order results if the frequencies of interest are below 0.75Hz.

AB - At present, over 1500 offshore wind turbines (OWTs) are operating in the UK with a capacity of 5.4GW. Until now, the research has mainly focused on how to minimise the CAPEX, but Operation and Maintenance (O&M) can represent up to 39% of the lifetime costs of an offshore wind farm, mainly due to the assets’ high cost and the harsh environment in which they operate. Focusing on O&M, the HOME Offshore research project (www.homeoffshore.org) aims to derive an advanced interpretation of the fault mechanisms through holistic multiphysics modelling of the wind farm. With the present work, an advanced model of dynamics for a single wind turbine is developed, able to identify the couplings between aero-hydro-servo-elastic (AHSE) dynamics and drive train dynamics. The wind turbine mechanical components, modelled using an AHSE dynamic model, are coupled with a detailed representation of a variable-speed direct-drive 5MW permanent magnet synchronous generator (PMSG) and its fully rated voltage source converters (VSCs). Using the developed model for the wind turbine, several case studies are carried out for above and below rated operating conditions. Firstly, the response time histories of wind turbine degrees of freedom (DOFs) are modelled using a full-order coupled analysis. Subsequently, regression analysis is applied in order to correlate DOFs and generated rotor torque (target degree of freedom for the failure mode in analysis), quantifying the level of inherent coupling effects. Finally, the reduced-order multiphysics models for a single offshore wind turbine are derived based on the strength of the correlation coefficients. The accuracy of the proposed reduced-order models is discussed, comparing it against the full-order coupled model in terms of statistical data and spectrum. In terms of statistical results, all the reducedorder models have a good agreement with the full-order results. In terms of spectrum, all the reduced-order models have a good agreement with the full-order results if the frequencies of interest are below 0.75Hz.

KW - offshore wind turbines

KW - Operation & Maintenance

KW - O&M

KW - aero-hydro-servo-elastic dynamics

KW - AHSE

KW - permanent magnet synchronous generator

KW - PMSG

KW - voltage source converters

KW - VSCs

M3 - Paper

ER -

Lin Z, Stetco A, Carmona-Sanchez J, Cevasco D, Collu M, Nenadic G et al. Progress on the development of a holistic coupled model of dynamics for offshore wind farms: phase II - study on a data-driven based reduced-order model for a single wind turbine. 2019. Paper presented at ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019, Glasgow, United Kingdom.