Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems

Detalhes bibliográficos
Autor(a) principal: Carvalho, Luis
Data de Publicação: 2021
Outros Autores: Rezende, Jefferson C., Costa, Marcus V.S., Fortes, Elenilson V., Macedo, Leonardo H. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/INDUSCON51756.2021.9529699
http://hdl.handle.net/11449/222508
Resumo: This paper proposes the application of robust model predictive control designed via linear matrix inequalities with infinite prediction horizon in the online and offline modes to damp low-frequency electromechanical oscillations and ensure the stability of a single machine infinite bus system modeled using the current sensitivity model. In the simulations performed, an exogenous disturbance in the form of an increase in the mechanical input power on the shaft of the synchronous generator was considered. Moreover, variations in the power demand of the load were also taken into account. With the implemented adjustments, comparisons were performed using graphical analyses of the time response and non-intrusive performance indices. From the obtained results, it was possible to conclude that the application of the proposed control strategy was effective for both simulated modes, with emphasis on the offline mode, which proved to be more efficient than the online mode for this application.
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spelling Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systemsCurrent sensitivity modelElectric power systemsLinear matrix inequalitiesLow-frequency electromechanical oscillationsPredictive controlThis paper proposes the application of robust model predictive control designed via linear matrix inequalities with infinite prediction horizon in the online and offline modes to damp low-frequency electromechanical oscillations and ensure the stability of a single machine infinite bus system modeled using the current sensitivity model. In the simulations performed, an exogenous disturbance in the form of an increase in the mechanical input power on the shaft of the synchronous generator was considered. Moreover, variations in the power demand of the load were also taken into account. With the implemented adjustments, comparisons were performed using graphical analyses of the time response and non-intrusive performance indices. From the obtained results, it was possible to conclude that the application of the proposed control strategy was effective for both simulated modes, with emphasis on the offline mode, which proved to be more efficient than the online mode for this application.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Department of Engineering Federal Rural University of the Semi-Arid Region, RNDepartment of Academic Areas Federal Institute of Education Science and Technology, GODepartment of Electrical Engineering São Paulo State University, SPDepartment of Electrical Engineering São Paulo State University, SPFAPESP: 2015/21972-6FAPESP: 2018/20355-1Federal Rural University of the Semi-Arid Regionand TechnologyUniversidade Estadual Paulista (UNESP)Carvalho, LuisRezende, Jefferson C.Costa, Marcus V.S.Fortes, Elenilson V.Macedo, Leonardo H. [UNESP]2022-04-28T19:45:11Z2022-04-28T19:45:11Z2021-08-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1228-1235http://dx.doi.org/10.1109/INDUSCON51756.2021.95296992021 14th IEEE International Conference on Industry Applications, INDUSCON 2021 - Proceedings, p. 1228-1235.http://hdl.handle.net/11449/22250810.1109/INDUSCON51756.2021.95296992-s2.0-85115873295Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2021 14th IEEE International Conference on Industry Applications, INDUSCON 2021 - Proceedingsinfo:eu-repo/semantics/openAccess2022-04-28T19:45:11Zoai:repositorio.unesp.br:11449/222508Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:39:31.230906Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
title Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
spellingShingle Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
Carvalho, Luis
Current sensitivity model
Electric power systems
Linear matrix inequalities
Low-frequency electromechanical oscillations
Predictive control
title_short Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
title_full Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
title_fullStr Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
title_full_unstemmed Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
title_sort Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
author Carvalho, Luis
author_facet Carvalho, Luis
Rezende, Jefferson C.
Costa, Marcus V.S.
Fortes, Elenilson V.
Macedo, Leonardo H. [UNESP]
author_role author
author2 Rezende, Jefferson C.
Costa, Marcus V.S.
Fortes, Elenilson V.
Macedo, Leonardo H. [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Federal Rural University of the Semi-Arid Region
and Technology
Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Carvalho, Luis
Rezende, Jefferson C.
Costa, Marcus V.S.
Fortes, Elenilson V.
Macedo, Leonardo H. [UNESP]
dc.subject.por.fl_str_mv Current sensitivity model
Electric power systems
Linear matrix inequalities
Low-frequency electromechanical oscillations
Predictive control
topic Current sensitivity model
Electric power systems
Linear matrix inequalities
Low-frequency electromechanical oscillations
Predictive control
description This paper proposes the application of robust model predictive control designed via linear matrix inequalities with infinite prediction horizon in the online and offline modes to damp low-frequency electromechanical oscillations and ensure the stability of a single machine infinite bus system modeled using the current sensitivity model. In the simulations performed, an exogenous disturbance in the form of an increase in the mechanical input power on the shaft of the synchronous generator was considered. Moreover, variations in the power demand of the load were also taken into account. With the implemented adjustments, comparisons were performed using graphical analyses of the time response and non-intrusive performance indices. From the obtained results, it was possible to conclude that the application of the proposed control strategy was effective for both simulated modes, with emphasis on the offline mode, which proved to be more efficient than the online mode for this application.
publishDate 2021
dc.date.none.fl_str_mv 2021-08-15
2022-04-28T19:45:11Z
2022-04-28T19:45:11Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/INDUSCON51756.2021.9529699
2021 14th IEEE International Conference on Industry Applications, INDUSCON 2021 - Proceedings, p. 1228-1235.
http://hdl.handle.net/11449/222508
10.1109/INDUSCON51756.2021.9529699
2-s2.0-85115873295
url http://dx.doi.org/10.1109/INDUSCON51756.2021.9529699
http://hdl.handle.net/11449/222508
identifier_str_mv 2021 14th IEEE International Conference on Industry Applications, INDUSCON 2021 - Proceedings, p. 1228-1235.
10.1109/INDUSCON51756.2021.9529699
2-s2.0-85115873295
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2021 14th IEEE International Conference on Industry Applications, INDUSCON 2021 - Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1228-1235
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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