A Current Sensitivity Model for Power System Stability Studies

Detalhes bibliográficos
Autor(a) principal: Miyahara Takahashi, Andre Luiz [UNESP]
Data de Publicação: 2018
Outros Autores: Fortes, Elenilson de Vargas, Araujo, Percival Bueno de [UNESP], Miotto, Ednei Luis, Barone Martins, Luis Fabiano, Tsuzuki, MDG, Junqueira, F.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/185461
Resumo: Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective of this article is to present a model for the study of power system small signal stability, the Current Sensitivity Model (CSM). The CSM is composed by sets of differential and algebraic equations. The differential equations are used to represent the dynamics of power systems equipment, such as generators and controllers. The algebraic equations represents the current nodal balance in all systems buses, where the current balance is the fundamental concept of the model. Simulations are performed in three test systems to evaluate CSM. In each of these simulations data obtained under CSM is compared with data obtained under Heffron and Phillips Model (HPM). The comparison allows to establish that for systems composed of a single machine connected to an infinite bus through a transmission line there are no differences between the models. For systems composed of more than one machine, defined as multimachine systems, numerical differences between CSM and HPM arises. Those differences are a result of the different concepts used to formulate the models, with the structure preservation being one of the key points, and one of the advantages of CSM over HPM.
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spelling A Current Sensitivity Model for Power System Stability StudiesCurrent Sensitivity ModelHeffron and Phillips ModelPower System modelsSmall-signal StabilityMathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective of this article is to present a model for the study of power system small signal stability, the Current Sensitivity Model (CSM). The CSM is composed by sets of differential and algebraic equations. The differential equations are used to represent the dynamics of power systems equipment, such as generators and controllers. The algebraic equations represents the current nodal balance in all systems buses, where the current balance is the fundamental concept of the model. Simulations are performed in three test systems to evaluate CSM. In each of these simulations data obtained under CSM is compared with data obtained under Heffron and Phillips Model (HPM). The comparison allows to establish that for systems composed of a single machine connected to an infinite bus through a transmission line there are no differences between the models. For systems composed of more than one machine, defined as multimachine systems, numerical differences between CSM and HPM arises. Those differences are a result of the different concepts used to formulate the models, with the structure preservation being one of the key points, and one of the advantages of CSM over HPM.Goias Federal Institute of Education, Science and Technology (IFG), Parana Federal Institute of Education, Science and Technology (IFPR)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira, BrazilGoias Fed Inst, Dept Acad Areas, BR-75804714 Jatai, BrazilFed Technol Univ Parana, Elect Engn Dept, BR-85902490 Toledo, BrazilParana Fed Inst, Dept Acad Areas, BR-86400000 Jacarezinho, BrazilSao Paulo State Univ, Dept Elect Engn, BR-15385000 Ilha Solteira, BrazilIeeeUniversidade Estadual Paulista (Unesp)Goias Fed InstFed Technol Univ ParanaParana Fed InstMiyahara Takahashi, Andre Luiz [UNESP]Fortes, Elenilson de VargasAraujo, Percival Bueno de [UNESP]Miotto, Ednei LuisBarone Martins, Luis FabianoTsuzuki, MDGJunqueira, F.2019-10-04T12:35:39Z2019-10-04T12:35:39Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject955-9622018 13th Ieee International Conference On Industry Applications (induscon). New York: Ieee, p. 955-962, 2018.2572-1445http://hdl.handle.net/11449/185461WOS:00045923920014581326306032194510000-0002-2491-6254Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 13th Ieee International Conference On Industry Applications (induscon)info:eu-repo/semantics/openAccess2024-07-04T19:11:55Zoai:repositorio.unesp.br:11449/185461Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:40:46.936920Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A Current Sensitivity Model for Power System Stability Studies
title A Current Sensitivity Model for Power System Stability Studies
spellingShingle A Current Sensitivity Model for Power System Stability Studies
Miyahara Takahashi, Andre Luiz [UNESP]
Current Sensitivity Model
Heffron and Phillips Model
Power System models
Small-signal Stability
title_short A Current Sensitivity Model for Power System Stability Studies
title_full A Current Sensitivity Model for Power System Stability Studies
title_fullStr A Current Sensitivity Model for Power System Stability Studies
title_full_unstemmed A Current Sensitivity Model for Power System Stability Studies
title_sort A Current Sensitivity Model for Power System Stability Studies
author Miyahara Takahashi, Andre Luiz [UNESP]
author_facet Miyahara Takahashi, Andre Luiz [UNESP]
Fortes, Elenilson de Vargas
Araujo, Percival Bueno de [UNESP]
Miotto, Ednei Luis
Barone Martins, Luis Fabiano
Tsuzuki, MDG
Junqueira, F.
author_role author
author2 Fortes, Elenilson de Vargas
Araujo, Percival Bueno de [UNESP]
Miotto, Ednei Luis
Barone Martins, Luis Fabiano
Tsuzuki, MDG
Junqueira, F.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Goias Fed Inst
Fed Technol Univ Parana
Parana Fed Inst
dc.contributor.author.fl_str_mv Miyahara Takahashi, Andre Luiz [UNESP]
Fortes, Elenilson de Vargas
Araujo, Percival Bueno de [UNESP]
Miotto, Ednei Luis
Barone Martins, Luis Fabiano
Tsuzuki, MDG
Junqueira, F.
dc.subject.por.fl_str_mv Current Sensitivity Model
Heffron and Phillips Model
Power System models
Small-signal Stability
topic Current Sensitivity Model
Heffron and Phillips Model
Power System models
Small-signal Stability
description Mathematical models have an important role in the study, analysis and planning of electric power systems operation. Suitable models produce more reliable data regarding the real behavior of the system. The main objective of this article is to present a model for the study of power system small signal stability, the Current Sensitivity Model (CSM). The CSM is composed by sets of differential and algebraic equations. The differential equations are used to represent the dynamics of power systems equipment, such as generators and controllers. The algebraic equations represents the current nodal balance in all systems buses, where the current balance is the fundamental concept of the model. Simulations are performed in three test systems to evaluate CSM. In each of these simulations data obtained under CSM is compared with data obtained under Heffron and Phillips Model (HPM). The comparison allows to establish that for systems composed of a single machine connected to an infinite bus through a transmission line there are no differences between the models. For systems composed of more than one machine, defined as multimachine systems, numerical differences between CSM and HPM arises. Those differences are a result of the different concepts used to formulate the models, with the structure preservation being one of the key points, and one of the advantages of CSM over HPM.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2019-10-04T12:35:39Z
2019-10-04T12:35:39Z
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 2018 13th Ieee International Conference On Industry Applications (induscon). New York: Ieee, p. 955-962, 2018.
2572-1445
http://hdl.handle.net/11449/185461
WOS:000459239200145
8132630603219451
0000-0002-2491-6254
identifier_str_mv 2018 13th Ieee International Conference On Industry Applications (induscon). New York: Ieee, p. 955-962, 2018.
2572-1445
WOS:000459239200145
8132630603219451
0000-0002-2491-6254
url http://hdl.handle.net/11449/185461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2018 13th Ieee International Conference On Industry Applications (induscon)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 955-962
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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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