Improving Power System Reliability Calculation Efficiency With EPSO Variants

Bibliographic Details
Main Author:
Publication Date: 2009
Other Authors: Mauro Rosa, Vladimiro Miranda, Chanan Singh, Leonel Magalhães Carvalho
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://repositorio.inesctec.pt/handle/123456789/3107
Summary: This paper presents an application of evolutionary particle swarm optimization (EPSO)-based methods to evaluate power system reliability. Population-based (PB) methods appear as competitors to the traditional Monte Carlo simulation (MCS), because they are computationally efficient in estimating a variety of reliability indices. The work reported in this paper demonstrates that EPSO variants can focus the search in the region of the state space where contributions to the formation of a reliability index may be found, instead of conducting a blind sampling of the space. The results obtained with EPSO are compared to MCS and with other PB methods.
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spelling Improving Power System Reliability Calculation Efficiency With EPSO VariantsThis paper presents an application of evolutionary particle swarm optimization (EPSO)-based methods to evaluate power system reliability. Population-based (PB) methods appear as competitors to the traditional Monte Carlo simulation (MCS), because they are computationally efficient in estimating a variety of reliability indices. The work reported in this paper demonstrates that EPSO variants can focus the search in the region of the state space where contributions to the formation of a reliability index may be found, instead of conducting a blind sampling of the space. The results obtained with EPSO are compared to MCS and with other PB methods.2017-11-17T11:37:14Z2009-01-01T00:00:00Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/3107engMauro RosaVladimiro MirandaChanan SinghLeonel Magalhães Carvalhoinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-10-12T02:19:45Zoai:repositorio.inesctec.pt:123456789/3107Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:56:24.450636Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Improving Power System Reliability Calculation Efficiency With EPSO Variants
title Improving Power System Reliability Calculation Efficiency With EPSO Variants
spellingShingle Improving Power System Reliability Calculation Efficiency With EPSO Variants
title_short Improving Power System Reliability Calculation Efficiency With EPSO Variants
title_full Improving Power System Reliability Calculation Efficiency With EPSO Variants
title_fullStr Improving Power System Reliability Calculation Efficiency With EPSO Variants
title_full_unstemmed Improving Power System Reliability Calculation Efficiency With EPSO Variants
title_sort Improving Power System Reliability Calculation Efficiency With EPSO Variants
dc.creator.none.fl_str_mv
author
author_facet
Mauro Rosa
Vladimiro Miranda
Chanan Singh
Leonel Magalhães Carvalho
author_role author
author2 Mauro Rosa
Vladimiro Miranda
Chanan Singh
Leonel Magalhães Carvalho
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mauro Rosa
Vladimiro Miranda
Chanan Singh
Leonel Magalhães Carvalho
description This paper presents an application of evolutionary particle swarm optimization (EPSO)-based methods to evaluate power system reliability. Population-based (PB) methods appear as competitors to the traditional Monte Carlo simulation (MCS), because they are computationally efficient in estimating a variety of reliability indices. The work reported in this paper demonstrates that EPSO variants can focus the search in the region of the state space where contributions to the formation of a reliability index may be found, instead of conducting a blind sampling of the space. The results obtained with EPSO are compared to MCS and with other PB methods.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01T00:00:00Z
2009
2017-11-17T11:37:14Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://repositorio.inesctec.pt/handle/123456789/3107
url http://repositorio.inesctec.pt/handle/123456789/3107
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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