A numerical scheme for extended mean-field control problems with application to energy production and distribution

Tam Jonathan Yick Yeung, University of Verona
Scaratti Marco, University of Verona

The consumption of energy amongst a population often exhibit heterogeneous features, including but not limited to geographical, demographic and seasonality factors. Matching supply and demand is imperative for stable and reliable transmission of electricity to customers. We model such a problem in terms of a state-constrained extended mean-field control problem. Given a target set of consumption profiles, the backwards reachable set can be characterised by the zero-level set of a viscosity solution of a Master Bellman equation. The backwards reachable set may be approximated by considering a suitable discretisation of the value function that corresponds to an approximating finite player game. The resulting finite-dimensional HJB equation can be computed with deep learning-based numerical methods.

Area: CS48 - Probabilistic models for energy transition (Tiziano Vargiolu and Athena Picarelli)

Keywords: mean-field control, energy transition, energy distribution, level-set

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