• DocumentCode
    2312894
  • Title

    Dynamic Economic Dispatch Solution using an Enhanced Real-Quantum Evolutionary Algorithm

  • Author

    Babu, G. S Sailesh ; Das, D. Bhagwan ; Patvardhan, C.

  • Author_Institution
    Dayalbagh Educ. Inst., Agra
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Dynamic economic dispatch (DED) is more realistic dispatch model than economic dispatch as a power system meets demand over several intervals (typically 1 hour each). DED involves ramp rates, which dynamically change the generation capacity limits of a unit. These dynamically changing inequality constraints make DED problem extremely difficult to solve. In this paper, dynamic economic dispatch problem has been attempted with enhanced RQEA (HSSDED). The proposed method has been found to be highly consistent in reaching global optima and in generating solutions better other techniques reported in literature. The proposed techniques are quite general and possess capability to handle other equally complex power system problems and others.
  • Keywords
    evolutionary computation; power generation dispatch; power generation economics; power system analysis computing; quantum computing; RQEA; complex power system problems; dynamic economic dispatch solution; enhanced real-quantum evolutionary algorithm; power generation capacity; Costs; Design optimization; Evolutionary computation; Power generation; Power generation dispatch; Power generation economics; Power system dynamics; Power system economics; Power system modeling; Quantum computing; Dynamic Economic Dispatch; Quantum Evolutionary Algorithms; Ramp Rate Constraints;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745185
  • Filename
    4745185