• DocumentCode
    3221080
  • Title

    A congestion management formulation with inter-temporal constraints

  • Author

    Lo, Edward O. ; Xie, Kai

  • Author_Institution
    ABB Energy Inf. Syst., Santa Clara, CA, USA
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    348
  • Lastpage
    354
  • Abstract
    This paper introduces the generation ramping constraints into congestion management (CM). The California Independent System Operator (CAISO) protocol is used as the basis of the presentation. In CAISO protocol, the forward transmission markets for which congestion management is applied include the day-ahead (DA) and hour-ahead (HA) markets. The protocol requires the modeling of market separation constraints to maintain portfolio balancing separately for different scheduling coordinators in the congestion management process. This paper presents the congestion management formulation with ramping constraints for DA and HA markets. In DA formulation, all hours of the DA scheduling. horizon are coupled together. An interior point method is applied to facilitate the decoupling of the time-constrained CM problem. For HA formulation in which the scheduling is for a single hour, terms modeling the penalty effect of ramping constraints on the future hours due to the adjustments of the current hour are included into the objective function. Congestion charge to scheduling coordinators is calculated using the same formula irrespective to the modeling of generation ramping constraints. Examples are presented for illustration
  • Keywords
    electricity supply industry; load flow control; optimal control; power system control; California Independent System Operator protocol; MW; congestion charge; congestion management; day-ahead markets; electric power industry; forward transmission markets; generation ramping constraints; hour-ahead markets; interior point method; market separation constraints modeling; optimal power flow; penalty effect; ramping constraints; scheduling. horizon; Energy management; ISO; Load flow; Management information systems; Portfolios; Power system management; Power system modeling; Protocols; Resource management; Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Industry Computer Applications, 2001. PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-6681-6
  • Type

    conf

  • DOI
    10.1109/PICA.2001.932376
  • Filename
    932376