• DocumentCode
    1257984
  • Title

    A Solution to the Unit Commitment Problem Using Imperialistic Competition Algorithm

  • Author

    Hadji, Moosa Moghimi ; Vahidi, Behrooz

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • Volume
    27
  • Issue
    1
  • fYear
    2012
  • Firstpage
    117
  • Lastpage
    124
  • Abstract
    This paper presents a new approach via a new evolutionary algorithm known as imperialistic competition algorithm (ICA) to solve the unit commitment (UC) problem. In ICA the initial population individuals (countries) are in two types: imperialists and colonies that all together form some empires. Imperialistic competitions among these empires converge to a state in which there exists only one empire. In the proposed ICA for the UC problem, the scheduling variables are coded as integers; therefore, the minimum up/down-time constraints can be handled directly. A new method for initializing the countries is proposed. To verify the performance of the proposed algorithm, it is applied to systems with number of generating units in range of 10 up to 100 in one-day scheduling period.
  • Keywords
    evolutionary computation; power generation dispatch; power generation scheduling; evolutionary algorithm; imperialistic competition algorithm; unit commitment problem; Cost function; Fuels; Genetic algorithms; Power generation; Production; Spinning; Time factors; Generation scheduling; imperialistic competition algorithm; optimization methods; unit commitment problem;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2011.2158010
  • Filename
    5930337