• DocumentCode
    3522382
  • Title

    Multi-agent systems for modeling high penetration photovoltaic system impacts in distribution networks

  • Author

    Pezeshki, H. ; Wolfs, P.J. ; Johnson, M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ. of Technol., Perth, WA, Australia
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper reviews the use of multi-agent systems to model the impacts of high levels of photovoltaic (PV) system penetration in distribution networks and presents some preliminary data obtained from the Perth Solar City high penetration PV trial. The Perth Solar City trial consists of a low voltage distribution feeder supplying 75 customers where 29 consumers have roof top photovoltaic systems. Data is collected from smart meters at each consumer premises, from data loggers at the transformer low voltage (LV) side and from a nearby distribution network SCADA measurement point on the high voltage side (HV) side of the transformer. The data will be used to progressively develop MAS models.
  • Keywords
    SCADA systems; distribution networks; multi-agent systems; photovoltaic power systems; power engineering computing; power system measurement; power transformers; MAS models; Perth solar city high penetration PV trial; consumer premises; data loggers; distribution network SCADA measurement point; high penetration photovoltaic system modeling impacts; high voltage side side; low voltage distribution feeder; multi-agent systems; roof top photovoltaic systems; smart meters; transformer low voltage side; Adaptation models; Computational modeling; Data models; Load modeling; Multiagent systems; Power systems; Voltage control; Multi-agent systems; distribution network; photovoltaic systems; power quality; voltage rise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Smart Grid Technologies Asia (ISGT), 2011 IEEE PES
  • Conference_Location
    Perth, WA
  • Print_ISBN
    978-1-4577-0873-2
  • Electronic_ISBN
    978-1-4577-0874-9
  • Type

    conf

  • DOI
    10.1109/ISGT-Asia.2011.6167149
  • Filename
    6167149