Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.creatorCarlos A. Guerreiro
dc.creatorJoão Tomé Saraiva
dc.creatorJ. C. Sousa
dc.creatorV. T. Mendes
dc.description.abstractWith the advent of restructuring, generation companies have to plan the operation of their stations in order to maximize their profits. This is very relevant for companies having a large share of hydro stations, and even more if these stations have pumping capacity. This paper describes a model to plan the operation of a set of hydro stations eventually installed in cascade and admitting that some of them are pumping stations. Once a first set of operation orders is obtained using a Genetic Algorithm, their generation/load values are included in the expected market selling/buying curves and the hourly prices are updated. These prices are then used to refine the operation orders originating an iterative process so that hydro stations are price makers. The paper includes results for a hydro system in order to illustrate the application of the developed approach.
dc.relation.ispartof2014 International Conference on The European Energy Market, EEM14
dc.subjectEngenharia electrotécnica, Engenharia electrotécnica, electrónica e informática
dc.subjectElectrical engineering, Electrical engineering, Electronic engineering, Information engineering
dc.titleOperation planning of hydro stations using genetic algorithms considering their impact on the electricity market prices
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
88735.pdf189.73 kBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons