• DocumentCode
    2538786
  • Title

    A simplified combined-cycle unit model for mixed integer linear programming-based unit commitment

  • Author

    Chang, G.W. ; Chuang, G.S. ; Lu, T.K.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chung Cheng Univ., Min-Hsiung
  • fYear
    2008
  • fDate
    20-24 July 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Unit commitment (UC) is a problem to economically determine the commitment status and generation level for each thermal unit during each time interval of the scheduled periods. The purpose of UC is to minimize the total generation cost while satisfying system demand, reserve requirements, and other unit constraints. The combined-cycled units have been increasingly installed throughout the world because of their high efficiency and fast response. However, the combined-cycle units usually have multiple operating configurations. The multi-configuration characteristic causes that the UC problem is more complex and difficult to be solved. In this paper, the authors present a simplified combined-cycled unit model to efficiently solve the related mixed integer linear programming-based UC problem. By simulating two test systems, results show that the proposed model is effective to reduce the complexity of problem with losing little solution accuracy.
  • Keywords
    combined cycle power stations; linear programming; power generation dispatch; power generation scheduling; UC; combined-cycle unit model; mixed integer linear programming; test systems; thermal unit; total generation cost minimisation; unit commitment; Cost function; Large-scale systems; Mixed integer linear programming; Optimization methods; Packaging; Piecewise linear techniques; Spinning; System testing; Turbines; Unit commitment; combined-cycle unit; convex combination model; mixed integer linear programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
  • Conference_Location
    Pittsburgh, PA
  • ISSN
    1932-5517
  • Print_ISBN
    978-1-4244-1905-0
  • Electronic_ISBN
    1932-5517
  • Type

    conf

  • DOI
    10.1109/PES.2008.4596496
  • Filename
    4596496