• DocumentCode
    3198048
  • Title

    A novel approach to transmission constraint pricing

  • Author

    Xiao, Ying ; Ni, Hui ; Su, Qianli ; Nieuwesteeg, Peter

  • Author_Institution
    Alstom Grid, Redmond, WA, USA
  • fYear
    2011
  • fDate
    20-23 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The locational marginal price (LMP) is critical information provided by real-time market clearing engines. Under congestion situations, transmission constraint prices affect the LMP substantially. Usually, shadow price (SP) of a transmission constraint is considered as the constraint price. When a transmission constraint is violated, its SP will be set by the penalty price. As the penalty price is a pre-assigned high price used for penalizing constraint violations, it usually does not have monetary value to the market clearing. To prevent the LMP being contaminated by the penalty prices, it´s highly desired by regional transmission organizations (RTOs) that the transmission constraint price shall be set by the physical marginal resources for constraint control. In this paper, a novel approach is proposed to calculate the price of violated transmission constraints. Case studies are conducted with PJM real-time production cases. The results demonstrate the effectiveness and high efficiency of the proposed approach. Currently, the approach has been used in PJM real-time production system for transmission constraint pricing.
  • Keywords
    power transmission economics; pricing; RTO; locational marginal price; regional transmission organization; shadow price; transmission constraint pricing; Computer aided software engineering; Generators; Load modeling; Optimization; Pricing; Production; Real time systems; Economic dispatch; electricity market; locational marginal price; system operations; transmission constraint price;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Systems Conference and Exposition (PSCE), 2011 IEEE/PES
  • Conference_Location
    Phoenix, AZ
  • Print_ISBN
    978-1-61284-789-4
  • Electronic_ISBN
    978-1-61284-787-0
  • Type

    conf

  • DOI
    10.1109/PSCE.2011.5772594
  • Filename
    5772594