• DocumentCode
    184051
  • Title

    A receding-horizon approach for active and reactive power flows optimization in microgrids

  • Author

    Bonfiglio, A. ; Bracco, S. ; Brignone, M. ; Delfino, F. ; Pampararo, F. ; Procopio, R. ; Robba, M. ; Rossi, M.

  • Author_Institution
    Dept. of Inf., Bioeng., Robot., & Syst. Eng., Univ. of Genova, Genoa, Italy
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    867
  • Lastpage
    872
  • Abstract
    An approach based on a receding-horizon control scheme is here proposed for the optimal control of active and reactive power flows in microgrids (an aggregation of distributed energy resources (DER) of small size (such as photovoltaics, wind generation, cogeneration units - CHP, concentrated solar power - CSP, mini-hydro, energy storage)). Microgrids represent today one of the most promising technology for DERs integration, as they can alleviate management and monitoring burden for the Distribution System Operator (DSO) by clustering several DERs in a single entity which interacts with the grid as a single source. The formalized decision model is applied to an innovative test-bed facility (the University of Genova Smart Polygeneration Microgrid).
  • Keywords
    distributed power generation; infinite horizon; load flow control; optimal control; power grids; reactive power control; CHP; CSP; DER; DER clustering; DER integration; DSO; University of Genova Smart Polygeneration Microgrid); active power flow optimization; cogeneration units; concentrated solar power; distributed energy resources; distribution system operator; energy storage; formalized decision model; minihydro; optimal control; photovoltaics; reactive power flow optimization; receding-horizon control scheme; wind generation; Boilers; Educational institutions; Equations; Microgrids; Optimization; Production; Reactive power;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981445
  • Filename
    6981445