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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/15538

Google™ Scholar. Others By: Conejo, Antonio J. - Prieto, Francisco J.
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Title: Mathematical programming and electricity markets
Author(s): Conejo, Antonio J.
Prieto, Francisco J.
Publisher: Springer
Issued date: 2001
Citation: TOP, 2001, v. 9, p. 1-21
URI: http://hdl.handle.net/10016/15538
ISSN: 1134-5764
DOI: 10.1007/BF02579062
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
Publisher version: http://dx.doi.org/10.1007/BF02579062
Keywords: Electric power
Competitive markets
Large-scale optimization
Mixed-integer optimization
Rights: © Springer
Appears in Collections:DES - Artículos de Revistas

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