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