• DocumentCode
    267523
  • Title

    Impact evaluation of PV generation on LV networks

  • Author

    Supponen, Antti ; Repo, Sami

  • Author_Institution
    Dept. of Electr. Eng., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2014
  • fDate
    18-22 Aug. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In distribution network planning, network loads are modeled with customer class specific load profiles. These profiles use hourly values of expected power and its standard deviation to represent the probability distribution of hourly load for a certain customer class. This paper demonstrates a method for evaluating network impacts of grid connected small scale distributed photovoltaic (PV) generation using a similar concept. The method is based on synthetic solar irradiance time series of hourly resolution incorporating the randomness associated with PV generation. The network impacts are evaluated with Monte Carlo simulations with a model of an actual low voltage (LV) network The results are then compared with Automatic meter reading (AMR) measurements from the modeled network and production measurements from an actual PV system.
  • Keywords
    Monte Carlo methods; distributed power generation; photovoltaic power systems; power distribution planning; power system measurement; power system simulation; statistical distributions; sunlight; time series; AMR measurements; LV network; Monte Carlo simulations; PV generation; PV system; automatic meter reading measurements; distributed photovoltaic generation; distribution network planning; low voltage network; network loads; network measurements; probability distribution; production measurements; synthetic solar irradiance time series; Indexes; Load modeling; Mathematical model; Random variables; Temperature measurement; Time series analysis; Uncertainty; DG; LV network impacts; PV generation; Solar irradiance uncertainty; Synthetic irradiance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Computation Conference (PSCC), 2014
  • Conference_Location
    Wroclaw
  • Type

    conf

  • DOI
    10.1109/PSCC.2014.7038331
  • Filename
    7038331