• DocumentCode
    3471294
  • Title

    Secant method for uUnit Commitment with ramp rate constraints

  • Author

    Chandram, K. ; Subrahmanyam, N. ; Sydulu, M.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Inst. of Technol., Warangal
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1198
  • Lastpage
    1204
  • Abstract
    This paper presents an application of a combined improved pre-prepared power demand (IPPD) table and secant method for solving the unit commitment (UC) problem of thermal units with ramp rate constraints. The UC problem is solved in two steps. First, the IPPD table obtains the information of committed units at each predicted power demands. Second, the procedure of economic dispatch (ED) is used to find the optimal allocation of the online generating units. Here ED sub problem is solved by secant method. The proposed method has been tested on a power system having 4 and 38 units for a scheduling horizon of 24 hours. Simulation results of the proposed method have been compared with existing methods. The comparison of results of the proposed method with the results of previous published methods shows that the proposed approach provides better qualitative solution with less computational time.
  • Keywords
    power generation dispatch; power generation economics; power generation scheduling; thermal power stations; economic dispatch; improved pre-prepared power demand table; online generating units; power system scheduling; ramp rate constraints; secant method; thermal units; unit commitment; Cost function; Economic forecasting; Fuel economy; Large-scale systems; Power demand; Power generation; Power generation economics; Power system economics; Power system simulation; Spinning; IPPD table and Quadratic fuel cost function; Secant method; Unit Commitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523589
  • Filename
    4523589