Effects of optimal grouping of wind farms in day-ahead markets through an external agent

A.A. Sánchez de la Nieta Lopez, V. Guerrero-Mestre, J. Contreras

Research output: Contribution to conferenceAbstractAcademic

Abstract

This paper models the optimal joint offer of several wind farms in day-ahead market grouped through an external agent considering the imbalance penalty market. This problem is modeled as a stochastic mixed integer linear one and the objective function maximizes the expected profit of the daily operation with two kinds of offers: i) Separate wind farm offers and ii) A coordinated wind farm offer through an external agent. A risk-hedging measure is used and a case study will be analyzed comparing imbalances and expected profits
Original languageEnglish
Publication statusPublished - 2014
Externally publishedYes
Event20th Conference of the International Federation of Operational Research Societies - Barcelona, Spain
Duration: 13 Jul 201418 Jul 2014

Conference

Conference20th Conference of the International Federation of Operational Research Societies
Abbreviated titleIFORS 2014
CountrySpain
CityBarcelona
Period13/07/1418/07/14

Keywords

  • Applications, Energy
  • Risk Analysis and Management

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    Sánchez de la Nieta Lopez, A. A., Guerrero-Mestre, V., & Contreras, J. (2014). Effects of optimal grouping of wind farms in day-ahead markets through an external agent. Abstract from 20th Conference of the International Federation of Operational Research Societies, Barcelona, Spain.