Mathematics – Optimization and Control
Scientific paper
2004-07-07
Mathematics
Optimization and Control
Scientific paper
In this paper, we apply Value-at-Risk (VaR) approaches on the problem of yearly electric generation management. In a classical approach, the future is modelled as a markov chain and the goal is to minimize the average generation cost over this uncertain future. However, such a strategy could lead to big financiallosses if worst case scenarios occur. The two VaR approaches we propose, precisely aim at robustifying the model. On a practical point of view, it amounts to introduce a new set of constraints modelling the uncertainties in the original optimization problem or equivalently to change the dual objective function. The new optimization problems are solved as efficiently as the nominal model. Numerical simulations are presented and discussed for this application.
Guigues Vincent
Ndiaye Papa-Momar
No associations
LandOfFree
A Value-At-Risk approach for robust management of electricity power generation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Value-At-Risk approach for robust management of electricity power generation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Value-At-Risk approach for robust management of electricity power generation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-729282