Application of Monte Carlo simulation to generating system well-being analysis considering renewable sources

dc.contributor.author Vladimiro Miranda en
dc.contributor.author Manuel João Aguiar en
dc.contributor.author Manuel Matos en
dc.contributor.author João Peças Lopes en
dc.contributor.author Armando Leite da Silva en
dc.contributor.author Luiz Antônio Manso en
dc.contributor.author Warlley S. Sales en
dc.contributor.author Leonidas Resende en
dc.date.accessioned 2017-11-16T12:26:51Z
dc.date.available 2017-11-16T12:26:51Z
dc.date.issued 2007 en
dc.description.abstract This paper presents an application of Monte Carlo chronological simulation to evaluate the reserve requirements of generating systems, considering renewable energy sources. The idea is to investigate the behavior of reliability indices, including those from the well-being analysis, when the major portion of the energy sources is renewable. Renewable in this work comprises hydroelectric, mini-hydroelectric, and wind power sources. Case studies on a configuration of the Portuguese Generating System are presented and discussed. Copyright#2006 JohnWiley & Sons, Ltd. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/1501
dc.language eng en
dc.relation 214 en
dc.relation 1103 en
dc.relation 208 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Application of Monte Carlo simulation to generating system well-being analysis considering renewable sources en
dc.type article en
dc.type Publication en
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