Orateur
M.
Santo Saraceno
(University of Brescia)
Description
This work presents a chance-constraint model for the management of Energy
Communities, focusing on prosumers and peer-to-peer electricity exchanges.
The model aims to minimize the total operation costs of the community, while ensuring
energy balance and satisfying technical constraints related to local production and the
energy exchanges both inside the community and with the main grid.
Uncertainty in solar photovoltaic generation and electricity demand is addressed using
individual and joint chance constraints that are modeled using normal distributions and
approximated through piecewise-linear techniques when necessary.
The model is tested on a prototype example of community and is implemented in Python
using Pyomo.
Author
M.
Santo Saraceno
(University of Brescia)
Co-auteurs
Prof.
Elisabetta Allevi
(University of Brescia)
Prof.
Giorgia Oggioni
(University of Brescia)
Prof.
Rossana Riccardi
(University of Brescia)
Prof.
Abdel Lisser
(L2S CentraleSupélec)
