• DocumentCode
    1571920
  • Title

    DG-allocation based on reliability indices by means of Monte Carlo simulation and AHP

  • Author

    Yousefian, R. ; Monsef, H.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, a new method is proposed to determine the best locations of DG units mainly based on reliability indices. Sequential Monte Carlo simulation (sMCs) is utilized to calculate the reliability indices. One of the main advantages of using sMCs in bulk power system reliability analysis is the ability to provide reliability index probability distributions in addition to the expected values of the index. This method can also provide information about the uncertainty related to a definite level of system reliability. Then, the AHP method is used to select the best plans based on reliability indices and some other alternatives including power loss and voltage profile. The results show that the proposed method finds the optimal locations of DG units considering enhancement of criteria with and without uncertainties of reliability and load demand.
  • Keywords
    Monte Carlo methods; decision making; distributed power generation; power distribution reliability; probability; AHP method; DG-allocation; Monte Carlo simulation; analytical hierarchical process; distributed generation; load demand; power loss; power system reliability analysis; reliability index probability distribution; voltage profile; Indexes; Nickel; Power system reliability; Reliability engineering; Robustness; Uncertainty; Analytical Hierarchical Process; Distributed Generation; Monte Carlo Simulation; Reliability Improvement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environment and Electrical Engineering (EEEIC), 2011 10th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    978-1-4244-8779-0
  • Type

    conf

  • DOI
    10.1109/EEEIC.2011.5874727
  • Filename
    5874727