• DocumentCode
    1358598
  • Title

    Decomposition model and interior point methods for optimal spot pricing of electricity in deregulation environments

  • Author

    Xie, Kai ; Song, Yong-hua ; Stonham, John ; Yu, Erkeng ; Liu, Guangyi

  • Author_Institution
    Dept. of Electr. Eng., Brunel Univ., Uxbridge, UK
  • Volume
    15
  • Issue
    1
  • fYear
    2000
  • fDate
    2/1/2000 12:00:00 AM
  • Firstpage
    39
  • Lastpage
    50
  • Abstract
    In this paper, an integrated optimal spot pricing model is presented first. The proposed model includes the detailed derivation of optimal nodal specific real-time prices for active and reactive powers, and the method to decompose them into different components corresponding to generation, loss, and many selected ancillary services such as spinning reserve, voltage control and security control. The features of the proposed model are discussed in relationship to existing pricing models and classical economic dispatch. The model is then implemented by modifying existing Newton OPF methods through interior point algorithms, which can effectively avoid “go” “no go” gauge (i.e. highly volatile) in the calculation of spot prices. Case studies on 5-bus and IEEE 30-bus systems are reported to illustrate the proposed method
  • Keywords
    Newton method; costing; electricity supply industry; load dispatching; load flow; power system economics; reactive power; IEEE 30-bus system; IEEE 5-bus system; Newton OPF methods; active power; ancillary services; classical economic dispatch; deregulation environments; interior point methods; optimal electricity spot pricing; optimal nodal specific real-time prices; reactive power; security control; spinning reserve; voltage control; Costs; Electricity supply industry deregulation; Lagrangian functions; Load flow; Power generation; Power generation economics; Power system modeling; Pricing; Reactive power; Transmission line matrix methods;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.852099
  • Filename
    852099