• DocumentCode
    2101115
  • Title

    Economic dispatch in multi-area using particle swarm optimization in electricity market

  • Author

    Azadani, E. Nasr ; Hosseinian, S.H. ; Moradzadeh, B. ; Hasanpor, P.

  • Author_Institution
    Center of Excellence on Power Syst., Amirkabir Univ. of Technol., Tehran
  • fYear
    2008
  • fDate
    12-15 March 2008
  • Firstpage
    559
  • Lastpage
    564
  • Abstract
    Competitive bidding for energy and ancillary services is increasingly recognized as an important part of electricity markets. On the other hand, the transmission capacity limits should be considered to optimize the total market cost. In this paper, a new approach based on Constrained Particle Swarm Optimization (CPSO) is developed to address the multi-product and multi-area electricity market dispatch problem. Constraint handling is based on feasibility rules and probability distribution. CPSO method offers a new solution for optimizing the total market cost in a multi-area competitive electricity market considering system constraints. The proposed approach is verified with several cases studies with quadratic and non-smooth cost functions.
  • Keywords
    costing; load dispatching; particle swarm optimisation; power markets; power system economics; statistical distributions; ancillary services; competitive bidding; cost functions; economic dispatch; electricity market; market cost; particle swarm optimization; probability distribution; transmission capacity limits; Constraint optimization; Cost function; Electricity supply industry; Multidimensional systems; Particle swarm optimization; Power generation economics; Power system economics; Power system modeling; Power system reliability; Power system simulation; Energy bidding price; Particle Swarm Optimization; Reserve bidding price;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Conference, 2008. MEPCON 2008. 12th International Middle-East
  • Conference_Location
    Aswan
  • Print_ISBN
    978-1-4244-1933-3
  • Electronic_ISBN
    978-1-4244-1934-0
  • Type

    conf

  • DOI
    10.1109/MEPCON.2008.4562353
  • Filename
    4562353