Mathematical programming and electricity markets

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dc.contributor.author Conejo, Antonio J.
dc.contributor.author Prieto, Francisco J.
dc.date.accessioned 2012-10-03T13:59:42Z
dc.date.available 2012-10-03T13:59:42Z
dc.date.issued 2001
dc.identifier.bibliographicCitation TOP, 2001, v. 9, p. 1-21
dc.identifier.issn 1134-5764
dc.identifier.uri http://hdl.handle.net/10016/15538
dc.description.abstract The electric power industry in Europe and all over the world is undertaking major regulatory and operational changes. The underlying rationale behind all these changes is to move from a centralized operation approach to a competitive one. That is, the understanding of power supply as a public service is being replaced by the notion that a competitive market is a more appropriate framework to supply reliable and cheap electric energy to consumers. In some cases, the aforementioned transition process has included the privatization of power utilities. This new framework requires new tools and procedures, and some of these procedures drastically differ from traditional ones. Therefore, new challenging mathematical programming and operations research problems naturally arise in this context. This paper provides a review of some of these problems, particularly operational problems spanning a time horizon from one day to one year. The approach adopted emphasizes mathematical programming issues, describing the structure and characteristics of these problems and suggesting appropriate solution techniques
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Springer
dc.rights © Springer
dc.subject.other Electric power
dc.subject.other Competitive markets
dc.subject.other Large-scale optimization
dc.subject.other Mixed-integer optimization
dc.title Mathematical programming and electricity markets
dc.type article
dc.description.status Publicado
dc.relation.publisherversion http://dx.doi.org/10.1007/BF02579062
dc.subject.eciencia Estadística
dc.identifier.doi 10.1007/BF02579062
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 1
dc.identifier.publicationlastpage 21
dc.identifier.publicationtitle TOP
dc.identifier.publicationvolume 9
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