• DocumentCode
    3543132
  • Title

    Reverse Weighted Multi Objective Optimization

  • Author

    Kadar, Peter

  • Author_Institution
    Dept. of Power Syst., Obuda Univ., Budapest, Hungary
  • fYear
    2013
  • fDate
    19-21 June 2013
  • Firstpage
    301
  • Lastpage
    305
  • Abstract
    CO2 emission is a corner point of electricity generation. Many optimization techniques are known but the decision makers don´t find the right global power mix for the World. The paper investigates the causes of the contradictions related to the traditional optimization techniques: the different priorities, spatial spreading and optimization levels. A new Reverse Weighted Multi Objective Optimization (RWMOO) solution offers to find a relative good solution in the space that cannot be optimized.
  • Keywords
    air pollution control; electricity supply industry; optimisation; RWMOO solution; electricity generation; global power mix; optimization levels; optimization techniques; reverse weighted multiobjective optimization; spatial spreading; Conferences; Cost function; Electricity; Investment; Power generation; Power systems; CO2 emission; contradictions of optimums; cost minimization; multi objective optimization; power mix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
  • Conference_Location
    San Jose
  • Print_ISBN
    978-1-4799-0828-8
  • Type

    conf

  • DOI
    10.1109/INES.2013.6632830
  • Filename
    6632830
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3543132