• DocumentCode
    3665571
  • Title

    Dynamic probabilistic risk assessment of cascading outages

  • Author

    Pierre Henneaux;Jiajia Song;Eduardo Cotilla-Sanchez

  • Author_Institution
    Tractebel Engineering (GDF SUEZ), Brussels 1200, Belgium
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Cascading outages in transmission power systems leading to blackouts or major power disruption are due to complex mechanisms. Some of the key mechanisms are intrinsically linked to power system dynamics that static models cannot represent. Additionally, stochastic failures of the protection devices are another important factor. Therefore, a dynamic probabilistic risk assessment of cascading outages is necessary. However, most of the existing approaches are based on static power system models. This paper discusses the limitation of these static models, reviews the state of the art on dynamic probabilistic risk assessment of cascading outages and proposes several techniques to solve the current challenges. Probabilistic dynamic simulations are compared to deterministic dynamic simulations using two test systems. The results show that probabilistic simulations show various impacts on the cascading risks for those two test systems.
  • Keywords
    "Power system dynamics","Probabilistic logic","Load modeling","Risk management","Power system faults","Power system protection","Power system stability"
  • Publisher
    ieee
  • Conference_Titel
    Power & Energy Society General Meeting, 2015 IEEE
  • ISSN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PESGM.2015.7286024
  • Filename
    7286024