Grid strength estimation for offshore wind power plant with back-to-back converters

This thesis presents the modeling and control of a grid-forming voltage source converter (VSC) intended for offshore wind power plant applications. The main objective is to develop a control strategy capable of estimating the strength of the grid (commonly referred to as grid impedance or short-circ...

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Detalles Bibliográficos
Autor: Juaristi Elguea, Mikel
Tipo de recurso: tesis de maestría
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/442288
Acceso en línea:https://hdl.handle.net/2117/442288
Access Level:acceso abierto
Palabra clave:Wind power
Offshore structures
Energia eòlica
Estructures marines
Àrees temàtiques de la UPC::Energies::Energia eòlica
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spelling Grid strength estimation for offshore wind power plant with back-to-back convertersJuaristi Elguea, MikelWind powerOffshore structuresEnergia eòlicaEstructures marinesÀrees temàtiques de la UPC::Energies::Energia eòlicaThis thesis presents the modeling and control of a grid-forming voltage source converter (VSC) intended for offshore wind power plant applications. The main objective is to develop a control strategy capable of estimating the strength of the grid (commonly referred to as grid impedance or short-circuit ratio) in order to adapt the converter’s behavior accordingly. The system is designed to operate reliably in both weak and strong grid conditions, and to provide functionalities such as voltage and frequency support. The methodology is based on a full simulation model built in MATLAB/Simulink. The model includes a back-to-back converter, offshore transformer, grid models of varying impedance, and control blocks implementing virtual admittance and Q/V droop strategies. Additionally, a method for online grid strength estimation is integrated into the model. Several test scenarios—both under nominal and fault conditions—are evaluated to verify the performance of the converter in grid-forming mode. Results show that the proposed converter control can maintain stable operation and contribute to system support even in weak grid environments. The implementation of the grid strength estimation algorithm enables adaptive behavior, which is crucial for ensuring compliance with national grid codes and improving the robustness of future offshore wind systems. The work concludes that the integration of advanced grid-forming strategies is not only technically feasible but also essential for the evolving power systems landscape.Universitat Politècnica de CatalunyaAlbernaz Lacerda Freitas, Vinícius20252025-07-0120252025-09-23master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/442288reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/4422882026-05-27T15:37:01Z
dc.title.none.fl_str_mv Grid strength estimation for offshore wind power plant with back-to-back converters
title Grid strength estimation for offshore wind power plant with back-to-back converters
spellingShingle Grid strength estimation for offshore wind power plant with back-to-back converters
Juaristi Elguea, Mikel
Wind power
Offshore structures
Energia eòlica
Estructures marines
Àrees temàtiques de la UPC::Energies::Energia eòlica
title_short Grid strength estimation for offshore wind power plant with back-to-back converters
title_full Grid strength estimation for offshore wind power plant with back-to-back converters
title_fullStr Grid strength estimation for offshore wind power plant with back-to-back converters
title_full_unstemmed Grid strength estimation for offshore wind power plant with back-to-back converters
title_sort Grid strength estimation for offshore wind power plant with back-to-back converters
dc.creator.none.fl_str_mv Juaristi Elguea, Mikel
author Juaristi Elguea, Mikel
author_facet Juaristi Elguea, Mikel
author_role author
dc.contributor.none.fl_str_mv Albernaz Lacerda Freitas, Vinícius
dc.subject.none.fl_str_mv Wind power
Offshore structures
Energia eòlica
Estructures marines
Àrees temàtiques de la UPC::Energies::Energia eòlica
topic Wind power
Offshore structures
Energia eòlica
Estructures marines
Àrees temàtiques de la UPC::Energies::Energia eòlica
description This thesis presents the modeling and control of a grid-forming voltage source converter (VSC) intended for offshore wind power plant applications. The main objective is to develop a control strategy capable of estimating the strength of the grid (commonly referred to as grid impedance or short-circuit ratio) in order to adapt the converter’s behavior accordingly. The system is designed to operate reliably in both weak and strong grid conditions, and to provide functionalities such as voltage and frequency support. The methodology is based on a full simulation model built in MATLAB/Simulink. The model includes a back-to-back converter, offshore transformer, grid models of varying impedance, and control blocks implementing virtual admittance and Q/V droop strategies. Additionally, a method for online grid strength estimation is integrated into the model. Several test scenarios—both under nominal and fault conditions—are evaluated to verify the performance of the converter in grid-forming mode. Results show that the proposed converter control can maintain stable operation and contribute to system support even in weak grid environments. The implementation of the grid strength estimation algorithm enables adaptive behavior, which is crucial for ensuring compliance with national grid codes and improving the robustness of future offshore wind systems. The work concludes that the integration of advanced grid-forming strategies is not only technically feasible but also essential for the evolving power systems landscape.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-07-01
2025
2025-09-23
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/442288
url https://hdl.handle.net/2117/442288
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869422065003528192
score 15,812455

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