• DocumentCode
    2118942
  • Title

    A new economic dispatch algorithm for thermal unit generation scheduling in power system

  • Author

    Young-Hyun Moon ; Jeong-Do Park ; Lee, Yong-hoon ; Tae-Shik Lee

  • Author_Institution
    Dept. of Electr. Eng., Yonsei Univ., Seoul, South Korea
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1034
  • Abstract
    This paper presents a new ED (economic dispatch) algorithm for thermal unit generation scheduling in a power system, which guarantees the near optimal solution without reducing calculation speed. It is well known that the accuracy of the fuel cost function has a great influence on the accuracy of the ED solution. However, a roughly approximated quadratic function of the generation cost has generally been used due to the difficulties in dealing with a cost function reflecting the nonlinearity of the actual generator response. In this paper, a new method is proposed to improve both the accuracy and the calculation speed of the ED. By using the inverse incremental cost functions, the ED can be transformed into a simple optimization problem associated with an n-th order polynomial equation. The proposed method reduces the computation time with adaptability to any higher order generation cost functions. The proposed method is tested with sample systems, which shows that the proposed algorithm yields more accurate and economical results with high computation time
  • Keywords
    fuel; polynomials; power generation dispatch; power generation economics; power generation scheduling; thermal power stations; economic dispatch algorithm; fuel cost function; generator response nonlinearity; inverse incremental cost functions; n-th order polynomial equation; near optimal solution; optimization; piecewise linear iterative method; power system; roughly approximated quadratic function; thermal unit generation scheduling; Accuracy; Cost function; Fuel economy; Optimization methods; Polynomials; Power generation; Power generation economics; Power system economics; Power systems; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society Winter Meeting, 2000. IEEE
  • Print_ISBN
    0-7803-5935-6
  • Type

    conf

  • DOI
    10.1109/PESW.2000.850080
  • Filename
    850080