Article ID: | iaor20081821 |
Country: | Cuba |
Volume: | 28 |
Issue: | 1 |
Start Page Number: | 4 |
End Page Number: | 16 |
Publication Date: | Jan 2007 |
Journal: | Revista de Investigacin Operacional |
Authors: | Schultz Rdiger, Neise Frederike |
Keywords: | risk, programming: probabilistic |
We introduce models and algorithms suitable for including risk aversion into stochastic programming problems in energy. For a system with dispersed generation of power and heat we present computational results showing the superiority of our decomposition algorithm over a standard mixed-integer linear programming solver.