• DocumentCode
    585815
  • Title

    Multi-objective optimization techniques and applications in electric power systems

  • Author

    Grond, M.O.W. ; Luong, N.H. ; Morren, J. ; Slootweg, J.G.

  • Author_Institution
    Electr. Energy Syst. Group, Eindhoven Univ. of Technol., Eindhoven, Netherlands
  • fYear
    2012
  • fDate
    4-7 Sept. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Efficient operation and planning of power systems is important for a reliable and sustainable electricity supply. Therefore, optimization techniques have been applied to several optimization problems in power systems in order to achieve technical and economic efficiency. This paper presents an overview of existing optimization techniques and applications in power systems, with a special focus on multi-objective optimization in power system planning. Power system planning is by its nature a very complex multi-objective optimization problem involving perspectives of different stakeholders. Besides, a single stakeholder can also have various objectives that need to be optimized at the same time. This paper provides a review of the state-of-the-art in multi-objective evolutionary algorithms applied to power systems planning problems.
  • Keywords
    evolutionary computation; power system planning; electric power system planning problems; multiobjective evolutionary algorithms; multiobjective optimization techniques; Algorithm design and analysis; Evolutionary computation; Mathematical model; Optimization; Planning; Power system planning; Power system planning and operation; estimation of distribution algorithms; evolutionary algorithms; heuristics; multi-objective optimization; optimization techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Universities Power Engineering Conference (UPEC), 2012 47th International
  • Conference_Location
    London
  • Print_ISBN
    978-1-4673-2854-8
  • Electronic_ISBN
    978-1-4673-2855-5
  • Type

    conf

  • DOI
    10.1109/UPEC.2012.6398417
  • Filename
    6398417