• DocumentCode
    690717
  • Title

    Reliability assessment for power systems with large-scale Renewable Energy Sources

  • Author

    Yuan Lai ; Gengyin Li ; Yuning Wang ; Hui Li ; Zhidong Wang

  • Author_Institution
    State Key Lab. of Alternate Electr. Power Syst. with Renewable Energy Sources, North China Electr. Power Univ., Beijing, China
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper first to establish the reliability assessment models for the wind farms and the photovoltaic plant, and combined to the load model to assess the reliability of the power system based on the sequential Monte-Carlo simulation method. The influence on the power system reliability which is caused by different power generation capacities, access points of the new energy to the power system and the complementary access modes of the wind farms and the photovoltaic plant namely, simultaneously and separately, are all analyzed and compared in the case study computed in the IEEE-RTS79 testing system and programmed under Matlab7. The results show the effectiveness and efficiency of the proposed model and the algorithm.
  • Keywords
    Monte Carlo methods; photovoltaic power systems; power generation reliability; wind power plants; IEEE-RTS79 testing system; Matlab7; access points; complementary access modes; large-scale renewable energy sources; load model; photovoltaic plant; power generation capacities; power system reliability; reliability assessment models; sequential Monte-Carlo simulation method; wind farms; Photovoltaic systems; Power system reliability; Reliability; Wind farms; Wind speed; Monte-Carla simulation; Photovoltaic plant; Reliability assessment; Wind farms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Engineering Conference (APPEEC), 2013 IEEE PES Asia-Pacific
  • Conference_Location
    Kowloon
  • Type

    conf

  • DOI
    10.1109/APPEEC.2013.6837220
  • Filename
    6837220