• DocumentCode
    2603543
  • Title

    Probabilistic analysis of small signal stability of microgrid using point estimate method

  • Author

    Xu, Xialing ; Lin, Tao ; Zha, Xiaoming

  • Author_Institution
    Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
  • fYear
    2009
  • fDate
    6-7 April 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a two-point estimate (TPE) based method for probabilistic analysis of small signal stability of a microgrid (MG) considering uncertainties. The uncertainties may arise from different sources as load demand or generation unit outages. This method combines the TPE method and probabilistic small signal stability analysis. Stability indices and the judgment of unstable types for microgrid´s probabilistic small signal stability are also addressed. Instead of using a large number of simulations, which is required in Monte Carlo approach, for a system with N uncertain parameters, the TPE method uses 2N calculations of stability to quantify the uncertainty while keeping enough precision. The small signal model of a microgrid, which consists of a conventional synchronous machine and two electronically interfaced distributed generations, is used to evaluate the performance of the proposed method. Simulation results of the MG verify the effectiveness of the proposed method.
  • Keywords
    Monte Carlo methods; distributed power generation; power system stability; Monte Carlo approach; electronically interfaced distributed generations; microgrid; point estimate method; probabilistic small signal stability analysis; synchronous machine; two-point estimate method; Distributed control; Mesh generation; Power system reliability; Power system stability; Probability; Signal analysis; Stability analysis; Stochastic processes; Synchronous machines; Uncertainty; Microgrid; Monte Carlo simulation; distributed generations; dynamic model; probability analysis; small disturbance stability; two-point estimate;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4934-7
  • Type

    conf

  • DOI
    10.1109/SUPERGEN.2009.5348227
  • Filename
    5348227