Séminaire du département Automatique du 19/11/2013 à 10h30

Introducing renewable generation into the power grid: What randomized optimization has to offer.

Intervenant : John Lygeros, ETH (Zurich, Suisse)

Lieu : Salle des séminaires B 208, Département Automatique , Gipsa-Lab

Résumé :

Increasing concerns about energy security and sustainability have fueled a worldwide research effort

into renewable energy sources. The introduction of renewable energy into the existing power grid 

offers a wealth of challenges for control engineers, arising in energy production (e.g. optimization 

of wind turbines and wind farms), energy transmission, and energy distribution (e.g. for distributed 

photovoltaic generation or demand response schemes). On the energy transmission level, a central 

concern is the uncertainty inherent in many forms of renewable generation, currently addressed 

through the procurement of reserves. In this talk we will discuss a stochastic programming problem 

to minimize the amount of reserves purchased subject to probabilistic constraints on meeting energy 

demand despite uncertainty in wind power in-feed. Motivated by the structure of the resulting

 optimization problem we develop a novel randomized optimization approach, which provides an 

interesting bridge between standard robust optimization and the scenario approach for chance 

constrained stochastic programs.