• DocumentCode
    35978
  • Title

    Chronological risk assessment approach of distribution system with concentrated solar power plant

  • Author

    Shah, Rakibuzzaman ; Ruifeng Yan ; Saha, Tapan K.

  • Author_Institution
    Power & Energy Syst. Res. Group, Univ. of Queensland, Brisbane, QLD, Australia
  • Volume
    9
  • Issue
    6
  • fYear
    2015
  • fDate
    8 2015
  • Firstpage
    629
  • Lastpage
    637
  • Abstract
    It is anticipated that concentrated solar power (CSP) plant will become one of the significant resources for electric power generation in the near future. As the smaller scale CSP-based generations are primarily connected in distribution systems, there is a need to assess risk-based security for mid- to long-term planning. To quantify the risk of static and dynamic security with CSP, a method based on chronological simulation has been proposed. A clustering, algorithm-based scenario-reduction technique has been used to utilise the data efficiently for chronological simulation while preserving the temporal information. A number of composite risk indices that truly reflect the system risk have been used to address the static and dynamic security of a distribution system. The proposed method has been applied to a medium voltage distribution system, 43-bus system, to evaluate the static and dynamic risk with CSP and electric vehicles using the load profiles of North Queensland. Power profiles of a CSP system at Rockhampton, North Queensland, have been used for the simulation studies.
  • Keywords
    electric vehicles; load management; power distribution planning; power generation planning; power system security; risk management; solar power stations; CSP-based generations; North Queensland; Rockhampton; chronological risk assessment approach; concentrated solar power plant; dynamic security; electric power generation; electric vehicles; load profiles; long-term planning; medium voltage distribution system; mid-term planning; power profiles; risk-based security assessment; static security;
  • fLanguage
    English
  • Journal_Title
    Renewable Power Generation, IET
  • Publisher
    iet
  • ISSN
    1752-1416
  • Type

    jour

  • DOI
    10.1049/iet-rpg.2014.0262
  • Filename
    7181834