• DocumentCode
    707806
  • Title

    Resource scheduling in residential microgrids considering energy selling to external players

  • Author

    Canizes, Bruno ; Silva, Marco ; Faria, Pedro ; Ramos, Sergio ; Vale, Zita

  • Author_Institution
    GECAD - Knowledge Eng. & Decision Support Res. Center, Polytech. of Porto, Porto, Portugal
  • fYear
    2015
  • fDate
    10-13 March 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The operation of distribution networks has been facing changes with the implementation of smart grids and microgrids, and the increasing use of distributed generation. The specific case of distribution networks that accommodate residential buildings, small commerce, and distributed generation as the case of storage and PV generation lead to the concept of microgrids, in the cases that the network is able to operate in islanding mode. The microgrid operator in this context is able to manage the consumption and generation resources, also including demand response programs, obtaining profits from selling electricity to the main network. The present paper proposes a methodology for the energy resource scheduling considering power flow issues and the energy buying and selling from/to the main network in each bus of the microgrid. The case study uses a real distribution network with 25 bus, residential and commercial consumers, PV generation, and storage.
  • Keywords
    distributed power generation; distribution networks; load flow; power generation scheduling; smart power grids; demand response programs; distributed generation; distribution networks; energy resource scheduling; islanding mode; photovoltaic generation; power flow; residential microgrids; smart grids; Buildings; Discharges (electric); Energy resources; Load flow; Load management; Mathematical model; Microgrids; Demand Response; Energy Resource Management; Microgrids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference (PSC), 2015 Clemson University
  • Conference_Location
    Clemson, SC
  • Type

    conf

  • DOI
    10.1109/PSC.2015.7101700
  • Filename
    7101700