Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/4022
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGil Silva Sampaioen
dc.contributor.authorJoão Tomé Saraivaen
dc.contributor.authorSousa,JCen
dc.contributor.authorMendes,VTen
dc.date.accessioned2017-12-14T11:01:34Z-
dc.date.available2017-12-14T11:01:34Z-
dc.date.issued2013en
dc.identifier.urihttp://repositorio.inesctec.pt/handle/123456789/4022-
dc.identifier.urihttp://dx.doi.org/10.1109/eem.2013.6607278en
dc.description.abstractThis paper describes an approach to the short term operation planning of hydro stations in market environment. The developed approach is based on the solution of an optimization problem to maximize the profit of a generation agent along a planning period discretized in hourly steps using a Genetic Algorithm. This problem includes the possibility of pumping since this is an important resource in the scope of electricity markets. The scheduling problem was developed starting with an initial simplified version in which the head loss is neglected and the head is assumed constant. Then, it was implemented a second model in which the nonlinear relation between the head, the hydro power and the water discharge is retained and finally an approach in which the hydro schedule obtained in a given step is used to update the hourly electricity prices used to compute the profit of the generation agent. The short term hydro scheduling problem is illustrated using two Case Studies - the first one was designed to run a set of initial tests to the developed algorithm and the second one refers to a set of hydro stations that mirrors a cascade of 8 stations in Portugal. © 2013 IEEE.en
dc.languageengen
dc.relation6128en
dc.relation268en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.titleOptimization of the operation of hydro stations in market environment using Genetic Algorithmsen
dc.typeconferenceObjecten
dc.typePublicationen
Appears in Collections:CPES - Articles in International Conferences

Files in This Item:
File Description SizeFormat 
P-00A-4FR.pdf196.53 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.