• DocumentCode
    3608800
  • Title

    Stochastic locational marginal price calculation in distribution systems using game theory and point estimate method

  • Author

    Azad-Farsani, Ehsan ; Askarian-Abyaneh, Hossein ; Abedi, Mehrdad ; Hosseinian, Seyed Hossein

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    9
  • Issue
    14
  • fYear
    2015
  • Firstpage
    1811
  • Lastpage
    1818
  • Abstract
    This study presents a new stochastic method to estimate the locational marginal price (LMP) in the distribution networks containing distributed generation (DG). In the proposed method, LMP at each bus is calculated according to the contribution of the DG to the reduced amount of loss and emission. An iterative algorithm which is based on the game theory is proposed to allocate the loss and emission reduction among DG units. Also, a stochastic framework based on the point estimate method is considered to capture uncertainty in the market price and load demand. The proposed policy will provide a robust state estimation tool for distribution companies in the next step of operation. The state estimation tool provides the decision maker with the ability to exert its control over private DG units when loss and emission are minimised. The performance of the proposed algorithm is tested on a realistic distribution network in the deterministic and stochastic frameworks. The obtained results are encouraging.
  • Keywords
    decision making; distributed power generation; estimation theory; game theory; iterative methods; power distribution economics; power markets; pricing; state estimation; stochastic processes; DG unit; LMP estimation; decision maker; distributed generation; distribution company system; emission reduction; game theory; iterative algorithm; locational marginal price estimation; loss allocation; market price uncertainty; point estimate method; robust state estimation tool; stochastic locational marginal price calculation;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission Distribution, IET
  • Publisher
    iet
  • ISSN
    1751-8687
  • Type

    jour

  • DOI
    10.1049/iet-gtd.2014.0940
  • Filename
    7302704