• DocumentCode
    2236740
  • Title

    An Agent-based Design of Electricity Bidding Decision Support System for Pumped Storage Power Station

  • Author

    Han Fengwu ; Meng Xiangsong

  • Author_Institution
    Economic & Manage. Sch., North China Electr. Power Univ., Baoding
  • fYear
    2009
  • fDate
    24-25 April 2009
  • Firstpage
    439
  • Lastpage
    442
  • Abstract
    For electricity bidding of pumped storage power station, an agent-based decision support system is designed, which is easier extensively and can be upgraded easily. At the same time, (Common Object Request Broker Architecture) and KQML (Knowledge Query and Manipulation Language) are selected to implement standard communications among different operation systems. And programming language JAVA is selected because of its advantages in net communications and securities. At last, a electricity bidding stratagem is advised that prices for electricity bidding should start at the same maximum not only in the short time but also in the long time, and than its value decreases gradually with different ends.
  • Keywords
    decision support systems; multi-agent systems; power engineering computing; power markets; pricing; pumped-storage power stations; JAVA; agent-based design; common object request broker architecture; electricity bidding decision support system; knowledge query; manipulation language; pumped storage power station; Decision support systems; Electricity supply industry; Energy management; History; Mesh generation; Power generation; Power generation economics; Power grids; Power system economics; Power system management; Agent; price bidding; pumped storage power station;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial and Information Systems, 2009. IIS '09. International Conference on
  • Conference_Location
    Haikou
  • Print_ISBN
    978-0-7695-3618-7
  • Type

    conf

  • DOI
    10.1109/IIS.2009.119
  • Filename
    5116391