A Current Sensitivity Model for Power System Stability Studies
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
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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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 |
|
_version_ |
1808129450166976512 |