Reactive power support pricing of distributed generators with primary energy source uncertainty
Autor(a) principal: | |
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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.2010.5762868 http://hdl.handle.net/11449/72445 |
Resumo: | In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 2011 IEEE. |
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Reactive power support pricing of distributed generators with primary energy source uncertaintyAncillary servicesDistributed generationPrimary energy source uncertaintyReactive power supportActive powerAncillary serviceDistributed GenerationDistributed generatorsMarkov chainsMonte Carlo SimulationMulti objectiveNovel methodologyOpportunity costsPower flowsPrimary energy sourceService pricingComputer simulationDistributed power generationMarkov processesMonte Carlo methodsReactive powerTime seriesCostsIn this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 2011 IEEE.Universidade Estadual Paulista (UNESP - Ilha Solteira), São PauloUniversidad de Zaragoza (UNIZAR), ZaragozaUniversidade Estadual Paulista (UNESP - Ilha Solteira), São PauloUniversidade Estadual Paulista (Unesp)Universidad de Zaragoza (UNIZAR)Rueda-Medina, A. C. [UNESP]Domínguez-Navarro, José AntonioPadilha-Feltrin, A. [UNESP]2014-05-27T11:25:53Z2014-05-27T11:25:53Z2011-05-31info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject104-109http://dx.doi.org/10.1109/TDC-LA.2010.57628682010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 104-109.http://hdl.handle.net/11449/7244510.1109/TDC-LA.2010.57628682-s2.0-79957555875Scopusreponame: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/openAccess2021-10-23T21:37:44Zoai:repositorio.unesp.br:11449/72445Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:44Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
title |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
spellingShingle |
Reactive power support pricing of distributed generators with primary energy source uncertainty Rueda-Medina, A. C. [UNESP] Ancillary services Distributed generation Primary energy source uncertainty Reactive power support Active power Ancillary service Distributed Generation Distributed generators Markov chains Monte Carlo Simulation Multi objective Novel methodology Opportunity costs Power flows Primary energy source Service pricing Computer simulation Distributed power generation Markov processes Monte Carlo methods Reactive power Time series Costs |
title_short |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
title_full |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
title_fullStr |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
title_full_unstemmed |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
title_sort |
Reactive power support pricing of distributed generators with primary energy source uncertainty |
author |
Rueda-Medina, A. C. [UNESP] |
author_facet |
Rueda-Medina, A. C. [UNESP] Domínguez-Navarro, José Antonio Padilha-Feltrin, A. [UNESP] |
author_role |
author |
author2 |
Domínguez-Navarro, José Antonio Padilha-Feltrin, A. [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidad de Zaragoza (UNIZAR) |
dc.contributor.author.fl_str_mv |
Rueda-Medina, A. C. [UNESP] Domínguez-Navarro, José Antonio Padilha-Feltrin, A. [UNESP] |
dc.subject.por.fl_str_mv |
Ancillary services Distributed generation Primary energy source uncertainty Reactive power support Active power Ancillary service Distributed Generation Distributed generators Markov chains Monte Carlo Simulation Multi objective Novel methodology Opportunity costs Power flows Primary energy source Service pricing Computer simulation Distributed power generation Markov processes Monte Carlo methods Reactive power Time series Costs |
topic |
Ancillary services Distributed generation Primary energy source uncertainty Reactive power support Active power Ancillary service Distributed Generation Distributed generators Markov chains Monte Carlo Simulation Multi objective Novel methodology Opportunity costs Power flows Primary energy source Service pricing Computer simulation Distributed power generation Markov processes Monte Carlo methods Reactive power Time series Costs |
description |
In this paper, a novel methodology to price the reactive power support ancillary service of Distributed Generators (DGs) with primary energy source uncertainty is shown. The proposed methodology provides the service pricing based on the Loss of Opportunity Costs (LOC) calculation. An algorithm is proposed to reduce the uncertainty present in these generators using Multiobjective Power Flows (MOPFs) implemented in multiple probabilistic scenarios through Monte Carlo Simulations (MCS), and modeling the time series associated with the generation of active power from DGs through Markov Chains (MC). © 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.2010.5762868 2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 104-109. http://hdl.handle.net/11449/72445 10.1109/TDC-LA.2010.5762868 2-s2.0-79957555875 |
url |
http://dx.doi.org/10.1109/TDC-LA.2010.5762868 http://hdl.handle.net/11449/72445 |
identifier_str_mv |
2010 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America, T and D-LA 2010, p. 104-109. 10.1109/TDC-LA.2010.5762868 2-s2.0-79957555875 |
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 |
104-109 |
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_ |
1803650159971663872 |