• DocumentCode
    578559
  • Title

    Assessment of stress in active distribution networks with asset dynamic ratings

  • Author

    Jayaweera, Dilan ; Islam, Syed

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Perth, WA, Australia
  • fYear
    2012
  • fDate
    26-29 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Active distribution networks are vulnerable to random disturbances and the severity of stress of disturbances can be increased with dynamic rating of network assets, level of penetration of intermittent distributed generation (DG), and rise in customer demand. Increased stress in a distribution network can lead to major system disturbances including blackouts. This paper investigates this problem to assess how vulnerable the active networks to stresses arisen through random outages, dynamic variation of network asset ratings, demand rise, and high penetration of intermittent DG. The Monte Carlo simulation is the main driver of the assessment which incorporates dynamic rating of network assets through probabilistic modeling. The stress of the active network is recognizes as the product of network stress and the customer stress of not supplying the energy. A case study is performed and the results suggest that the active network stress can be buffered by the increased penetration of wind through strategic stations. The buffer is more effective at stressed operating conditions than the less stressed operating conditions.
  • Keywords
    Monte Carlo methods; distributed power generation; distribution networks; power system reliability; probability; Monte Carlo simulation; active distribution networks; asset dynamic ratings; blackouts; customer stress; disturbances stress; intermittent DG; intermittent distributed generation penetration; network assets; probabilistic modeling; strategic stations; stress assessment; system disturbances; Distributed power generation; Load flow; Monte Carlo methods; Power system dynamics; Probabilistic logic; Stress; Wind power generation; Monte Carlo simulation; active network operation; contingencies; intermittency; large system disturbances;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (AUPEC), 2012 22nd Australasian
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-2933-0
  • Type

    conf

  • Filename
    6360196