A Distributed Model Predictive Control approach for the integration of flexible loads, storage and renewables

Luca Ferrarini, Giancarlo Mantovani, Giuseppe Tommaso Costanzo

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Abstract

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 autoproduce 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.
Original languageEnglish
Title of host publicationIEEE International Symposium on Industrial Electronics
PublisherIEEE
Publication date2014
Pages1700-1705
ISBN (Print)978-1-4799-2399-1
DOIs
Publication statusPublished - 2014
EventIEEE ISIE 2014 : 23rd IEEE International Symposium on Industrial Electronics - Istanbul , Turkey
Duration: 1 Jun 20144 Jun 2014

Conference

ConferenceIEEE ISIE 2014
CountryTurkey
CityIstanbul
Period01/06/201404/06/2014

Keywords

  • Smart Grids
  • Model Predictive Control
  • Smart Buildings
  • Renewable Energy Integration

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