Reliability assessment of energy limited systems using sequential montecarlo simulation

Detalhes bibliográficos
Autor(a) principal: Zapata, C. J.
Data de Publicação: 2006
Outros Autores: Garcés, L. P. [UNESP], Gómez, O.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TDCLA.2006.311443
http://hdl.handle.net/11449/69261
Resumo: This paper explains why the reliability assessment of energy limited systems requires more detailed models for primary generating resources availability, internal and external generating dispatch and customer demand than the ones commonly used for large power systems and presents a methodology based on the full sequential Montecarlo simulation technique with AC power flow for their long term reliability assessment which can properly include these detailed models. By means of a real example, it is shown how the simplified modeling traditionally used for large power systems leads to pessimistic predictions if it is applied to an energy limited system and also that it cannot predict all the load point adequacy problems. © 2006 IEEE.
id UNSP_90a64d3d7e20805d3407498917029cc9
oai_identifier_str oai:repositorio.unesp.br:11449/69261
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Reliability assessment of energy limited systems using sequential montecarlo simulationInterconnected power systempower system reliabilitypower system simulationAC power flowCustomer demandsDetailed modelsLarge power systemsLoad pointsMonte Carlo SimulationPower system simulationsReal exampleReliability assessmentsComputer simulationElectric power system interconnectionPower transmissionRatingReliability analysisElectric power transmissionThis paper explains why the reliability assessment of energy limited systems requires more detailed models for primary generating resources availability, internal and external generating dispatch and customer demand than the ones commonly used for large power systems and presents a methodology based on the full sequential Montecarlo simulation technique with AC power flow for their long term reliability assessment which can properly include these detailed models. By means of a real example, it is shown how the simplified modeling traditionally used for large power systems leads to pessimistic predictions if it is applied to an energy limited system and also that it cannot predict all the load point adequacy problems. © 2006 IEEE.Universidad Tecnológica, PereiraUniversidade Estadual Paulista julio de Mesquita Filho, Ilha SolteiraUniversidade Estadual Paulista julio de Mesquita Filho, Ilha SolteiraUniversidad TecnológicaUniversidade Estadual Paulista (Unesp)Zapata, C. J.Garcés, L. P. [UNESP]Gómez, O.2014-05-27T11:22:03Z2014-05-27T11:22:03Z2006-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TDCLA.2006.3114432006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC'06.http://hdl.handle.net/11449/6926110.1109/TDCLA.2006.3114432-s2.0-82955239983Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC'06info:eu-repo/semantics/openAccess2021-10-23T21:37:56Zoai:repositorio.unesp.br:11449/69261Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:56Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Reliability assessment of energy limited systems using sequential montecarlo simulation
title Reliability assessment of energy limited systems using sequential montecarlo simulation
spellingShingle Reliability assessment of energy limited systems using sequential montecarlo simulation
Zapata, C. J.
Interconnected power system
power system reliability
power system simulation
AC power flow
Customer demands
Detailed models
Large power systems
Load points
Monte Carlo Simulation
Power system simulations
Real example
Reliability assessments
Computer simulation
Electric power system interconnection
Power transmission
Rating
Reliability analysis
Electric power transmission
title_short Reliability assessment of energy limited systems using sequential montecarlo simulation
title_full Reliability assessment of energy limited systems using sequential montecarlo simulation
title_fullStr Reliability assessment of energy limited systems using sequential montecarlo simulation
title_full_unstemmed Reliability assessment of energy limited systems using sequential montecarlo simulation
title_sort Reliability assessment of energy limited systems using sequential montecarlo simulation
author Zapata, C. J.
author_facet Zapata, C. J.
Garcés, L. P. [UNESP]
Gómez, O.
author_role author
author2 Garcés, L. P. [UNESP]
Gómez, O.
author2_role author
author
dc.contributor.none.fl_str_mv Universidad Tecnológica
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Zapata, C. J.
Garcés, L. P. [UNESP]
Gómez, O.
dc.subject.por.fl_str_mv Interconnected power system
power system reliability
power system simulation
AC power flow
Customer demands
Detailed models
Large power systems
Load points
Monte Carlo Simulation
Power system simulations
Real example
Reliability assessments
Computer simulation
Electric power system interconnection
Power transmission
Rating
Reliability analysis
Electric power transmission
topic Interconnected power system
power system reliability
power system simulation
AC power flow
Customer demands
Detailed models
Large power systems
Load points
Monte Carlo Simulation
Power system simulations
Real example
Reliability assessments
Computer simulation
Electric power system interconnection
Power transmission
Rating
Reliability analysis
Electric power transmission
description This paper explains why the reliability assessment of energy limited systems requires more detailed models for primary generating resources availability, internal and external generating dispatch and customer demand than the ones commonly used for large power systems and presents a methodology based on the full sequential Montecarlo simulation technique with AC power flow for their long term reliability assessment which can properly include these detailed models. By means of a real example, it is shown how the simplified modeling traditionally used for large power systems leads to pessimistic predictions if it is applied to an energy limited system and also that it cannot predict all the load point adequacy problems. © 2006 IEEE.
publishDate 2006
dc.date.none.fl_str_mv 2006-12-01
2014-05-27T11:22:03Z
2014-05-27T11:22:03Z
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/TDCLA.2006.311443
2006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC'06.
http://hdl.handle.net/11449/69261
10.1109/TDCLA.2006.311443
2-s2.0-82955239983
url http://dx.doi.org/10.1109/TDCLA.2006.311443
http://hdl.handle.net/11449/69261
identifier_str_mv 2006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC'06.
10.1109/TDCLA.2006.311443
2-s2.0-82955239983
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2006 IEEE PES Transmission and Distribution Conference and Exposition: Latin America, TDC'06
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_ 1803649409132527616