Decision Support Tools for Electricity Retailers, Wind Power and CHP Plants Using Probabilistic Forecasts

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This paper reviews a number of applications of optimization under uncertainty in energy markets resulting from the research project ENSYMORA. A general mathematical formulation applicable to problems of optimization under uncertainty in energy markets is presented. This formulation can be effortlessly adapted to describe different approaches: the deterministic one (usable within a rolling horizon scheme), stochastic programming and robust optimization. The different features of this mathematical formulation are duly interpreted with a view to the energy applications reviewed in this paper: trading for a price-maker wind power producer, management of heat and power systems, operation for retailers in a dynamic-price market. A selection of results shows the viability and appropriateness of the presented stochastic optimization approaches for managing energy systems under uncertainty.
Original languageEnglish
JournalInternational Journal of Sustainable Energy Planning and Management
Volume7
Pages (from-to)19-36
DOIs
Publication statusPublished - 2015
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Energy market, Probabilistic forecasting, Renewable energy, Robust optimization, Stochastic programming
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