• DocumentCode
    1136095
  • Title

    Decentralised approach for congestion management and congestion price discovering

  • Author

    Wei, P. ; Ni, Y. ; Wu, F.F.

  • Author_Institution
    Dept. of Electr. Eng., Southeast Univ., Nanjing, China
  • Volume
    149
  • Issue
    6
  • fYear
    2002
  • fDate
    11/1/2002 12:00:00 AM
  • Firstpage
    645
  • Lastpage
    652
  • Abstract
    Power systems are undergoing a significant change by introducing competition. In a market environment, the decentralised decision-making approach should be strongly encouraged so as to use an ´invisible hand´ to achieve efficient market equilibrium. However, in current power markets, centralised decision-making is still widely used due to the lack of proper decentralised optimal methods, e.g. a centralised OPF is used for managing congestion and setting the congestion price. A decentralised approach for congestion management in the spot market, which can also discover the congestion price, is proposed. In this approach, each participant tries to maximise their own profit with the help of system information announced by the operator. It is shown that the suggested decentralised approach can yield the same optimal dispatch solution as the centralised approach. Computer simulations are conducted on a three-bus test system and the IEEE 30-bus system. The results show clearly the effectiveness of the suggested method.
  • Keywords
    costing; digital simulation; load dispatching; load flow; power markets; power system simulation; IEEE 30-bus system; computer simulations; congestion management; congestion price; decentralised approach; decentralised decision-making approach; efficient market equilibrium; market environment; optimal dispatch solution; optimal power flow; power markets; power transfer distribution factor matrix; profit maximisation; spot market; three-bus test system;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20020716
  • Filename
    1176594