Probabilistic analysis of the distributed power generation in weakly meshed distribution systems
Autor(a) principal: | |
---|---|
Data de Publicação: | 2011 |
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/TDC-LA.2010.5762878 http://hdl.handle.net/11449/72447 |
Resumo: | This paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach uses both an efficient method for probabilistic analysis and a radial power flow. The probabilistic approach used is the well-known Two-Point Estimate Method. Meanwhile, the compensation-based radial power flow is used in order to extract benefits from the topological characteristics of the distribution systems. The generation model proposed allows modeling either PQ or PV bus on the connection point between the network and the distributed generator. In addition allows control of the generator operating conditions, such as the field current and the power delivery at terminals. Results on test with IEEE 37 bus system is given to illustrate the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2011 IEEE. |
id |
UNSP_88c029fbdfd0f72a643c9d5059c31ec6 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/72447 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systemsdistributed power generationprobabilistic three-phase power flowweakly meshed distribution systemsBus systemsConnection pointsDistributed generatorsDistribution systemsEfficient methodField currentsLoad demandMonte Carlo SimulationOperating conditionPower deliveryPower flowsProbabilistic analysisProbabilistic approachesThree-phase power flowTwo-pointComputational efficiencyComputer simulationDistributed power generationElectric power transmissionMonte Carlo methodsUncertainty analysisProbability distributionsThis paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach uses both an efficient method for probabilistic analysis and a radial power flow. The probabilistic approach used is the well-known Two-Point Estimate Method. Meanwhile, the compensation-based radial power flow is used in order to extract benefits from the topological characteristics of the distribution systems. The generation model proposed allows modeling either PQ or PV bus on the connection point between the network and the distributed generator. In addition allows control of the generator operating conditions, such as the field current and the power delivery at terminals. Results on test with IEEE 37 bus system is given to illustrate the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2011 IEEE.Electric Power System Planning Laboratory UNESPDepartment of Electrical Engineering Universidad Tecnológica de PereiraFaculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual PaulistaElectric Power System Planning Laboratory UNESPFaculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual PaulistaUniversidade Estadual Paulista (Unesp)Universidad Tecnológica de PereiraPeñuela, César A. [UNESP]Mauricio, Granada E. [UNESP]Mantovani, J. R S [UNESP]2014-05-27T11:25:53Z2014-05-27T11:25:53Z2011-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject171-177http://dx.doi.org/10.1109/TDC-LA.2010.57628782010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 171-177.http://hdl.handle.net/11449/7244710.1109/TDC-LA.2010.57628782-s2.0-799575375270614021283361265Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010info:eu-repo/semantics/openAccess2021-10-23T21:41:24Zoai:repositorio.unesp.br:11449/72447Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:41:24Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
title |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
spellingShingle |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems Peñuela, César A. [UNESP] distributed power generation probabilistic three-phase power flow weakly meshed distribution systems Bus systems Connection points Distributed generators Distribution systems Efficient method Field currents Load demand Monte Carlo Simulation Operating condition Power delivery Power flows Probabilistic analysis Probabilistic approaches Three-phase power flow Two-point Computational efficiency Computer simulation Distributed power generation Electric power transmission Monte Carlo methods Uncertainty analysis Probability distributions |
title_short |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
title_full |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
title_fullStr |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
title_full_unstemmed |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
title_sort |
Probabilistic analysis of the distributed power generation in weakly meshed distribution systems |
author |
Peñuela, César A. [UNESP] |
author_facet |
Peñuela, César A. [UNESP] Mauricio, Granada E. [UNESP] Mantovani, J. R S [UNESP] |
author_role |
author |
author2 |
Mauricio, Granada E. [UNESP] Mantovani, J. R S [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidad Tecnológica de Pereira |
dc.contributor.author.fl_str_mv |
Peñuela, César A. [UNESP] Mauricio, Granada E. [UNESP] Mantovani, J. R S [UNESP] |
dc.subject.por.fl_str_mv |
distributed power generation probabilistic three-phase power flow weakly meshed distribution systems Bus systems Connection points Distributed generators Distribution systems Efficient method Field currents Load demand Monte Carlo Simulation Operating condition Power delivery Power flows Probabilistic analysis Probabilistic approaches Three-phase power flow Two-point Computational efficiency Computer simulation Distributed power generation Electric power transmission Monte Carlo methods Uncertainty analysis Probability distributions |
topic |
distributed power generation probabilistic three-phase power flow weakly meshed distribution systems Bus systems Connection points Distributed generators Distribution systems Efficient method Field currents Load demand Monte Carlo Simulation Operating condition Power delivery Power flows Probabilistic analysis Probabilistic approaches Three-phase power flow Two-point Computational efficiency Computer simulation Distributed power generation Electric power transmission Monte Carlo methods Uncertainty analysis Probability distributions |
description |
This paper presents an approach for probabilistic analysis of unbalanced three-phase weakly meshed distribution systems considering uncertainty in load demand. In order to achieve high computational efficiency this approach uses both an efficient method for probabilistic analysis and a radial power flow. The probabilistic approach used is the well-known Two-Point Estimate Method. Meanwhile, the compensation-based radial power flow is used in order to extract benefits from the topological characteristics of the distribution systems. The generation model proposed allows modeling either PQ or PV bus on the connection point between the network and the distributed generator. In addition allows control of the generator operating conditions, such as the field current and the power delivery at terminals. Results on test with IEEE 37 bus system is given to illustrate the operation and effectiveness of the proposed approach. A Monte Carlo Simulations method is used to validate the results. © 2011 IEEE. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-05-31 2014-05-27T11:25:53Z 2014-05-27T11:25:53Z |
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/TDC-LA.2010.5762878 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 171-177. http://hdl.handle.net/11449/72447 10.1109/TDC-LA.2010.5762878 2-s2.0-79957537527 0614021283361265 |
url |
http://dx.doi.org/10.1109/TDC-LA.2010.5762878 http://hdl.handle.net/11449/72447 |
identifier_str_mv |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 171-177. 10.1109/TDC-LA.2010.5762878 2-s2.0-79957537527 0614021283361265 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
171-177 |
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_ |
1797789423766601728 |