Séminaire COATI : Panagiotis ANDRIANESIS, enseignant chercheur Mines Paris, PSL

Panagiotis ANDRIANESIS, enseignant chercheur au Centre PERSEE de Mines Paris, PSL, fera un exposé le mardi 26 mai 2026 à 14h au Centre Inria d'Université Côte d'Azur dans le bâtiment Galois, Salle G53.

TITLE

Scheduling and Pricing Challenges in Low-Carbon Power Grids 


ABSTRACT

In this talk, we will discuss scheduling and pricing challenges that arise in low-carbon power grids, characterized by stochastic and/or distributed clean energy resources. In the first part of the talk, we will consider risk-driven methodologies to achieve higher adoption of stochastic resources, such as wind farms, and a more efficient and reliable system operation. We propose a data-driven method for forming ellipsoidal uncertainty sets tailored to renewable-rich systems and showcase the applicability of our approach on the adaptive robust unit commitment problem using ensemble wind forecasts from a large US ISO territory. If time allows, I will present the theory and application of convex hull (Lagrangian Dual) pricing in non-convex electricity markets and illustrate how Dantzig-Wolfe decomposition offers an exact computation method that provides intuition on the price formation rationale. In the second part, we will consider the day-ahead operational planning problem of radial distribution networks hosting Distributed Energy Resources (DERs) including rooftop solar and storage-like loads, such as electric vehicles. We will initiate the discussion with the definition and discovery of Distribution Locational Marginal Costs (DLMCs) that are key to optimal DER scheduling. We then propose a data-driven approach for accurate marginal cost estimation taking a first step towards the design of DLMC-based dynamic and adaptive distribution network tariffs. In the last part of the talk, I will present ideas that I currently explore under an ERC Starting Grant on “Crisis-Resilient Price Discovery in Decarbonized Power Systems.”