Operating Reserve Assessment Incorporating a Stochastic Electric Vehicle Model

dc.contributor.author Mauro Rosa en
dc.contributor.author Leonardo Bremermann en
dc.contributor.author João Peças Lopes en
dc.contributor.author Manuel Matos en
dc.contributor.author Jean Sumaili en
dc.date.accessioned 2017-11-17T11:56:14Z
dc.date.available 2017-11-17T11:56:14Z
dc.date.issued 2012 en
dc.description.abstract Over the past years, electric vehicles have become part of the transport sector. This is mainly but not only because of public concern with regard to climate change. Similarly to what happened with renewable energy sources (RES) when internal combustion engine vehicles are replaced by electric vehicles (EV), the electric system must be prepared to absorb the impact that those vehicles will have on the grid. The objective of this paper is to present a stochastic approach based on the Homogeneous Poisson Process (HPP) to model EV so that they can be included in operating reserve studies. The main idea is to combine the traditional Markovian process that models the up and down cycles of generating units with a counting process based on the HPP to model EV charging modes into Sequential Monte Carlo Simulation (SMCS). Discussions on mobility representation and its implications on the EV charging modes are presented based on the Portuguese mobility survey and its impacts are measured through en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/3306
dc.language eng en
dc.relation 5164 en
dc.relation 214 en
dc.relation 1103 en
dc.relation 4660 en
dc.relation 4937 en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Operating Reserve Assessment Incorporating a Stochastic Electric Vehicle Model en
dc.type conferenceObject en
dc.type Publication en
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