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.
Original language | English |
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Journal | International Journal of Sustainable Energy Planning and Management |
Volume | 7 |
Pages (from-to) | 19-36 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Energy market
- Probabilistic forecasting
- Renewable energy
- Robust optimization
- Stochastic programming