• DocumentCode
    228574
  • Title

    Multi - objective economic emission load dispatch solution using wolf´s method in various generation plants with wind power penetration

  • Author

    Thenmalar, K. ; Anujak, S. ; Ramesh, S.

  • Author_Institution
    Dept. of EEE, Vivekanandha Coll. of Eng. for Women, Tiruchencode, India
  • fYear
    2014
  • fDate
    13-14 Feb. 2014
  • Firstpage
    1
  • Lastpage
    13
  • Abstract
    Economic load dispatch means that the generator´s real and reactive powers are allowed to vary with in certain limit so as to meet a particular load demand with minimum fuel cost. In this paper a Multi -Objective Economic Emission Load Dispatch problem is solved to minimize the emission of nitrogen oxides(NOx), oxides of other fuels that release during generation of electricity and fuel cost considering both thermal generators and Wind turbines. The effect of Wind power on overall emission is also investigated here using Quadratic programming by wolf´s method. This method have better convergence characteristic. Wolf´s method is an extended simplex procedure which can be applied to Quadratic programming problems in which all the problem variables are non negative.
  • Keywords
    air pollution control; nitrogen compounds; power generation dispatch; power generation economics; quadratic programming; reactive power; wind turbines; NO; Wolf method; fuel cost; generation plants; multiobjective economic emission load dispatch; quadratic programming; reactive power; thermal generators; wind power penetration; wind turbines; Cost function; Economics; Equations; Fuels; Thermal stability; Vectors; Wind power generation; Emission dispatch; Fuel cost; Quadratic Programming by Wolf´s Method; Wind turbine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics and Communication Systems (ICECS), 2014 International Conference on
  • Conference_Location
    Coimbatore
  • Print_ISBN
    978-1-4799-2321-2
  • Type

    conf

  • DOI
    10.1109/ECS.2014.6892680
  • Filename
    6892680