Abstract
This memo documents work on spatial Benders applied to the Fansi market model
conducted in the RAKETT project. The spatial Benders decomposition technique has
promising theoretical properties. We describe the theoretical foundation, elaborate on a
small-scale test system, before applying the decomposition technique to a scenario
problem defined from a dataset representing the Northern-European system. Based on
the achieved results, it seems difficult to justify the application of this technique to the
Fansi market model. We observed variable accuracy in computed water values and
limited potential for decreased computation time
conducted in the RAKETT project. The spatial Benders decomposition technique has
promising theoretical properties. We describe the theoretical foundation, elaborate on a
small-scale test system, before applying the decomposition technique to a scenario
problem defined from a dataset representing the Northern-European system. Based on
the achieved results, it seems difficult to justify the application of this technique to the
Fansi market model. We observed variable accuracy in computed water values and
limited potential for decreased computation time
