• DocumentCode
    3729668
  • Title

    Fuzzy comprehensive risk assessment of distribution network fault based on rough set theory

  • Author

    Tingting Bo;Qing Chen;Zhanjun Gao;Chaoqun Zhu;Pu Zhao;Yi Zhu

  • Author_Institution
    Key Laboratory of Power System Intelligent Dispatch and Control (Shandong University), Ministry of Education, Jinan, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For disadvantages such as plenty of low level risk factors, strong fuzzy characteristics and regional differences between urban and rural areas in traditional distribution network fault risk assessment, a comprehensive risk assessment method with multi-factor influence and multi-region effect is proposed to describe different influence on fault risk assessment for distribution network based on rough set theory and fuzzy comprehensive assessment method. The main influence factors are acquired based on attribute reduction in rough set, and then new comprehensive risk assessment model is established by introducing risk assessment theory into it. Lastly, compare and analyze the results of different areas to acquire risk assessment and indicate feasibility and effectiveness of the combined comprehensive risk assessment method.
  • Keywords
    "Risk management","Decision support systems","Indexes","Radio frequency","Chlorine","Set theory","Power systems"
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2015 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2015.7380966
  • Filename
    7380966