• DocumentCode
    560813
  • Title

    Solution of economic dispatch problem using Gravitational Search Algorithm

  • Author

    Duman, Serhat ; Arsoy, Aysen Basa ; Yörükeren, Nuran

  • Author_Institution
    Dept. of Electr. Educ., Duzce Univ., Duzce, Turkey
  • fYear
    2011
  • fDate
    1-4 Dec. 2011
  • Abstract
    An efficient and optimum economic operation of electric power generation systems has always played an important role in the operation of the electric power industry. Low fuel cost and reliable operation of power systems is desired the available electricity generation resources to supply the load demand on the power system. Economic dispatch problem is one of the nonlinear optimization problems of electrical power systems. This study presents a new heuristic approach to solve the well-known power system economic dispatch problem using Gravitational Search Algorithm (GSA). In order to test the effectiveness of proposed approach it was applied to different test systems. To show that effectiveness of proposed algorithm the results obtained are compared to those reported in the literature. The simulation results demonstrate that this proposed approach is a very useful and efficient approach to solve economic dispatch problem.
  • Keywords
    electricity supply industry; optimisation; power generation dispatch; power generation economics; power generation reliability; economic dispatch problem; electric power generation; electric power industry; electrical power systems; electricity generation resources; gravitational search algorithm; heuristic approach; load demand; low fuel cost; nonlinear optimization problems; optimum economic operation; reliable operation; Convergence; Economics; Fuels; Generators; Heuristic algorithms; Optimization; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineering (ELECO), 2011 7th International Conference on
  • Conference_Location
    Bursa
  • Print_ISBN
    978-1-4673-0160-2
  • Type

    conf

  • Filename
    6140158