This paper presents an innovative solution based on distributed model predictive controllers to integrate the control and management of energy consumption, energy storage, PV and wind generation at customer side. The overall goal is to enable an advanced prosumer to auto-produce part of the energy he needs with renewable sources and, at the same time, to optimally exploit the thermal and electrical storages, to trade off its comfort requirements with different pricing schemes (including real-time pricing), and apply optimal control techniques rather than sub-optimal heuristics.
Titre
A distributed model predictive control approach for the integration of flexible loads, storage and renewables
Date
2014-06
Publié dans
Proceedings of the IEEE 23rd International Symposium on Industrial Electronics (ISIE)
Volume
2014
Pages / Numéro d'article
1700-1705
Pagination
6 p.
Présenté à
2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 6 p., 2014-06-01, 2014-06-04
ISBN
978-1-4799-2399-1
Type de papier
published full paper
Domaine
Ingénierie et Architecture
Ecole
HEIG-VD
Institut
iAi-Institut d'Automatisation Industrielle
Note
COSTANZO, Giuseppe est chercheur à la HES-SO, HEIG-VD, depuis 2023.