Robust model predictive control via LMIs applied for damping low-frequency electromechanical oscillations in power systems
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808129101351878656 |