• DocumentCode
    135478
  • Title

    Cumulus cloud shadow model for analysis of power systems with photovoltaics

  • Author

    Chengrui Cai ; Aliprantis, Dionysios

  • Author_Institution
    Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2014
  • fDate
    27-31 July 2014
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Summary form only given. Distributed photovoltaic (PV) power generation systems are being rapidly deployed worldwide, causing technical problems such as reverse power flows and voltage rises in distribution feeders, and real and reactive power transients that affect the operation of the bulk transmission system. To fully understand and address these problems, extensive computer simulation studies are required. To this end, this paper sets forth a cloud shadow model that can be used to recreate the power generation of rooftop PV systems embedded in a distribution feeder, or that of a utility-scale PV power plant, during days with cumulus clouds. Realistically shaped cumulus cloud shadows are modeled as fractals. The variation of the irradiance incident on each PV system in an area of interest is then obtained by considering the movement of the cloud shadow over the area. The synthesized irradiance has satisfactory temporal and spatial characteristics. The proposed model is suitable for Monte Carlo simulations of power systems with high PV penetration.
  • Keywords
    Monte Carlo methods; distributed power generation; fractals; load flow; photovoltaic power systems; power distribution; Monte Carlo simulations; bulk transmission system; cumulus cloud shadow; distributed photovoltaic systems; distribution feeders; fractals; power generation systems; power systems analysis; reactive power transients; reverse power flows; rooftop PV systems; utility-scale PV power plant; voltage rises; Analytical models; Clouds; Computational modeling; Photovoltaic systems; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    PES General Meeting | Conference & Exposition, 2014 IEEE
  • Conference_Location
    National Harbor, MD
  • Type

    conf

  • DOI
    10.1109/PESGM.2014.6939387
  • Filename
    6939387