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

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Marco Zugno
Juan Miguel Morales
Henrik Madsen

Abstract

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.

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How to Cite
Zugno, M., Morales, J. M., & Madsen, H. (2015). Decision Support Tools for Electricity Retailers, Wind Power and CHP Plants Using Probabilistic Forecasts. International Journal of Sustainable Energy Planning and Management, 7, 17–33. https://doi.org/10.5278/ijsepm.2015.7.3
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