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

Luca Ferrarini, Giancarlo Mantovani, Giuseppe Tommaso Costanzo

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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
    Event2014 IEEE 23rd International Symposium on Industrial Electronics - Istanbul , Turkey
    Duration: 1 Jun 20144 Jun 2014
    Conference number: 23
    https://ieeexplore.ieee.org/xpl/conhome/6851787/proceeding

    Conference

    Conference2014 IEEE 23rd International Symposium on Industrial Electronics
    Number23
    Country/TerritoryTurkey
    CityIstanbul
    Period01/06/201404/06/2014
    Internet address

    Keywords

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

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