• DocumentCode
    253297
  • Title

    Coincident demand based Smart Long Run Incremental Cost pricing model

  • Author

    Sharma, Ashok ; Bhakar, Rohit ; Tiwari, H.P.

  • Author_Institution
    Dept. of Electr. Eng., MNIT Jaipur, Jaipur, India
  • fYear
    2014
  • fDate
    9-11 May 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Impending Smart Grid environment can offer innovative solutions to alleviate network congestion through efficient network management. This paper proposes a coincident demand based Smart Long Run Incremental Cost (LRIC) pricing mechanism to provide efficient pricing signal to users for mitigating network congestion. Considering that future smart meters would measure user´s coincident peak demand, the user is offered a coincident demand based Smart Pricing signal in a LRIC pricing framework. The proposed approach is applied on 22-bus practical Indian reference network. Users connected at the various nodes face network charges based on their coincident demand to each upstream asset. The results encourage users to modify their consumption pattern, and reduce their coincidence to network peak usage.
  • Keywords
    demand side management; power system economics; pricing; smart meters; smart power grids; 22-bus practical Indian reference network; LRIC pricing model; coincident demand based smart pricing signal; network congestion; network pricing; smart grid environment; smart long run incremental cost pricing model; smart meters; Computational modeling; Pricing; Reliability; LRIC; coincidence factor; network pricing; smart grid;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances and Innovations in Engineering (ICRAIE), 2014
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4799-4041-7
  • Type

    conf

  • DOI
    10.1109/ICRAIE.2014.6909280
  • Filename
    6909280