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Dynamic load management in a smart home to participate in demand response events

  • Filipe Fernandes
  • , Hugo Morais
  • , Zita Vale
  • , Carlos Ramos
    • Instituto Politécnico do Porto

    Research output: Contribution to journal › Journal article › Research › peer-review

    Abstract

    In future power systems, in the smart grid and microgrids operation paradigms, consumers can be seen as an energy resource with decentralized and autonomous decisions in the energy management. It is expected that each consumer will manage not only the loads, but also small generation units, heat- ing systems, storage systems, and electric vehicles. Each consumer can participate in different demand response events promoted by system operators or aggregation entities. This paper proposes an innovative method to manage the appliances on a house during a demand response event. The main contribution of this work is to include time constraints in resources management, and the context evaluation in order to ensure the required comfort levels. The dynamic resources management methodology allows a better resources’ management in a demand response event, mainly the ones of long duration, by changing the priorities of loads during the event. A case study with two scenarios is presented considering a demand response with 30 min duration, and another with 240 min (4 h). In both simulations, the demand response event proposes the power consumption reduction during the event. A total of 18 loads are used, including real and virtual ones, controlled by the presented house management system
    Original languageEnglish
    JournalEnergy and Buildings
    Volume82
    Pages (from-to)592-606
    ISSN0378-7788
    DOIs
    Publication statusPublished - 2014

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

    Keywords

    • Demand response
    • Dynamic load priority
    • Domestic consumer
    • Energy resources management

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