Decentralized AC power flow for real-time multi-TSO power system operation
Autor(a) principal: | |
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Data de Publicação: | 2010 |
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/PES.2010.5589298 http://hdl.handle.net/11449/72208 |
Resumo: | This paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by diferent transmission system operators (TSO). The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. To allow better visualization of the concept of independent operation of each TSO, an artificial neural network have been used for computing border information of the interconnected TSOs. A multi-area Power Flow tool can be seen as a basic building block able to address a large number of problems under a multi-TSO competitive market philosophy. The IEEE RTS-96 power system is used in order to show the operation and effectiveness of the decentralized AC Power Flow. ©2010 IEEE. |
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Repositório Institucional da UNESP |
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Decentralized AC power flow for real-time multi-TSO power system operationDecentralized coordinationDecomposition methodsMulti-area power systemsNeural networksPower flowAC power flowArtificial Neural NetworkBasic building blockCompetitive marketsExplicit knowledgeFirst-order optimality conditionMulti area power systemsNetwork dataNonlinear programming problemOperation pointPower flowsPower system operationsPower systemsTransmission system operatorsKnowledge managementOperations researchOptimizationVisualizationElectric power transmissionThis paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by diferent transmission system operators (TSO). The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. To allow better visualization of the concept of independent operation of each TSO, an artificial neural network have been used for computing border information of the interconnected TSOs. A multi-area Power Flow tool can be seen as a basic building block able to address a large number of problems under a multi-TSO competitive market philosophy. The IEEE RTS-96 power system is used in order to show the operation and effectiveness of the decentralized AC Power Flow. ©2010 IEEE.Department of Electrical Engineering Universidad Tecnológica de PereiraElectric Power System Planning Laboratory UNESPElectric Power System Planning Laboratory Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual PaulistaDepartment of Electrical and Computer Engineering Illinois Institute of Technology, Chicago, ILElectric Power System Planning Laboratory UNESPElectric Power System Planning Laboratory Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual PaulistaUniversidad Tecnológica de PereiraUniversidade Estadual Paulista (Unesp)Illinois Institute of TechnologyGranada E., Mauricio [UNESP]Rider, Marcos J. [UNESP]Mantovani, J. R S [UNESP]Shahidehpour, M.2014-05-27T11:25:25Z2014-05-27T11:25:25Z2010-12-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/PES.2010.5589298IEEE PES General Meeting, PES 2010.http://hdl.handle.net/11449/7220810.1109/PES.2010.55892982-s2.0-786495397720614021283361265Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE PES General Meeting, PES 2010info:eu-repo/semantics/openAccess2024-07-04T19:11:50Zoai:repositorio.unesp.br:11449/72208Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:41:22.315662Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Decentralized AC power flow for real-time multi-TSO power system operation |
title |
Decentralized AC power flow for real-time multi-TSO power system operation |
spellingShingle |
Decentralized AC power flow for real-time multi-TSO power system operation Granada E., Mauricio [UNESP] Decentralized coordination Decomposition methods Multi-area power systems Neural networks Power flow AC power flow Artificial Neural Network Basic building block Competitive markets Explicit knowledge First-order optimality condition Multi area power systems Network data Nonlinear programming problem Operation point Power flows Power system operations Power systems Transmission system operators Knowledge management Operations research Optimization Visualization Electric power transmission |
title_short |
Decentralized AC power flow for real-time multi-TSO power system operation |
title_full |
Decentralized AC power flow for real-time multi-TSO power system operation |
title_fullStr |
Decentralized AC power flow for real-time multi-TSO power system operation |
title_full_unstemmed |
Decentralized AC power flow for real-time multi-TSO power system operation |
title_sort |
Decentralized AC power flow for real-time multi-TSO power system operation |
author |
Granada E., Mauricio [UNESP] |
author_facet |
Granada E., Mauricio [UNESP] Rider, Marcos J. [UNESP] Mantovani, J. R S [UNESP] Shahidehpour, M. |
author_role |
author |
author2 |
Rider, Marcos J. [UNESP] Mantovani, J. R S [UNESP] Shahidehpour, M. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidad Tecnológica de Pereira Universidade Estadual Paulista (Unesp) Illinois Institute of Technology |
dc.contributor.author.fl_str_mv |
Granada E., Mauricio [UNESP] Rider, Marcos J. [UNESP] Mantovani, J. R S [UNESP] Shahidehpour, M. |
dc.subject.por.fl_str_mv |
Decentralized coordination Decomposition methods Multi-area power systems Neural networks Power flow AC power flow Artificial Neural Network Basic building block Competitive markets Explicit knowledge First-order optimality condition Multi area power systems Network data Nonlinear programming problem Operation point Power flows Power system operations Power systems Transmission system operators Knowledge management Operations research Optimization Visualization Electric power transmission |
topic |
Decentralized coordination Decomposition methods Multi-area power systems Neural networks Power flow AC power flow Artificial Neural Network Basic building block Competitive markets Explicit knowledge First-order optimality condition Multi area power systems Network data Nonlinear programming problem Operation point Power flows Power system operations Power systems Transmission system operators Knowledge management Operations research Optimization Visualization Electric power transmission |
description |
This paper adjusts decentralized OPF optimization to the AC power flow problem in power systems with interconnected areas operated by diferent transmission system operators (TSO). The proposed methodology allows finding the operation point of a particular area without explicit knowledge of network data of the other interconnected areas, being only necessary to exchange border information related to the tie-lines between areas. The methodology is based on the decomposition of the first-order optimality conditions of the AC power flow, which is formulated as a nonlinear programming problem. To allow better visualization of the concept of independent operation of each TSO, an artificial neural network have been used for computing border information of the interconnected TSOs. A multi-area Power Flow tool can be seen as a basic building block able to address a large number of problems under a multi-TSO competitive market philosophy. The IEEE RTS-96 power system is used in order to show the operation and effectiveness of the decentralized AC Power Flow. ©2010 IEEE. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-12-06 2014-05-27T11:25:25Z 2014-05-27T11:25:25Z |
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/PES.2010.5589298 IEEE PES General Meeting, PES 2010. http://hdl.handle.net/11449/72208 10.1109/PES.2010.5589298 2-s2.0-78649539772 0614021283361265 |
url |
http://dx.doi.org/10.1109/PES.2010.5589298 http://hdl.handle.net/11449/72208 |
identifier_str_mv |
IEEE PES General Meeting, PES 2010. 10.1109/PES.2010.5589298 2-s2.0-78649539772 0614021283361265 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE PES General Meeting, PES 2010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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_ |
1808129346447081472 |