• DocumentCode
    3581088
  • Title

    Multi-scene technology applied in distribution network reliability assessment

  • Author

    Chen Shaonan ; Chen Biyun ; Gong Shu ; Ye Lei ; Bi Wanxia ; Wei Hua

  • Author_Institution
    Guangxi key Lab. of Power Syst. Optimization & Energy Technol., Guangxi Univ., Nanning, China
  • fYear
    2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    For the reliability evaluation of distribution network with wind power, the current application of different simulation methods have a common contradiction between accuracy and computational time. In this paper, a method for the reliability evaluation of distribution network based on Wasserstein distance multi-scene is presented. First, optimal quintile and its probability of wind power scenes are determined by probability distribution of wind speed and wind turbine power curve. Second, the feeder partition algorithm is applied to calculate the reliability indices of distribution network under different scenes. Finally, the total probability formula is used to calculate the reliability indices of distribution network with wind power. A comparison with the results of Monte Carlo simulation method shows that the proposed method is simple and efficient, having high accuracy and suitable for evaluating reliability of distribution network that encompasses wind power.
  • Keywords
    Monte Carlo methods; power distribution reliability; probability; wind power; wind turbines; Monte Carlo simulation method; Wasserstein distance multiscene; computational time; distribution network reliability assessment; feeder partition algorithm; multiscene technology; probability distribution; reliability evaluation; wind power scenes probability; wind speed; wind turbine power curve; Monte Carlo methods; Power system reliability; Reliability; Wind power generation; Wind speed; Wind turbines; Distribution Network; Feeder Partition; Multi-scene; Reliability Evaluation; Wasserstein Distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2014 IEEE PES Asia-Pacific
  • Type

    conf

  • DOI
    10.1109/APPEEC.2014.7066104
  • Filename
    7066104