• DocumentCode
    3665502
  • Title

    Advanced operational functionalities for a low voltage Microgrid test site

  • Author

    F. Adinolfi;F. D´Agostino;S. Massucco;M. Saviozzi;F. Silvestro

  • Author_Institution
    DITEN (Electrical, Electronic, Telecommunication Engineering and Naval Architecture Department), University of Genova, via Opera Pia 11a, 16145, Italy
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This work aims to describe the implementation of a renewable energy based Microgrid test site facility at the University of Genova (Italy) and to depict the advanced functionalities there implemented within the national supported project Smartgen. The developed advanced Distribution Management System (DMS) is based on a Supervisory Control And Data Acquisition (SCADA) system for the remote monitoring of a Low Voltage Microgrid composed by a photovoltaic (PV) plant, an ion-lithium energy storage system, electrical load and a weather station. The implemented DMS is embedded with advanced functionalities which provide 36 hours forecasting of the load consumption and renewable generation. The forecasted data are also used to optimally program and manage the storage device. The proposed algorithms are described and also implementation aspects are reported within the paper.
  • Keywords
    "Microgrids","Artificial neural networks","Production","Weather forecasting","Training","Indexes"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7285953
  • Filename
    7285953